data science
The field of study that deals with big amount of data using AI techniques such as machine learning algorithms to predict patterns and obtain useful information to make business decisions
Computer scientists conduct research in computer and information science, directed toward greater knowledge and understanding of fundamental aspects of ICT phenomena. They write research reports and proposals. Computer scientists also invent and design new approaches to computing technology, find innovative uses for existing technology and studies and solve complex problems in computing.
No competences in this bucket.
No competences in this bucket.
The field of study that deals with big amount of data using AI techniques such as machine learning algorithms to predict patterns and obtain useful information to make business decisions
The theoretical methodology used in scientific research involving doing background research, constructing an hypothesis, testing it, analysing data and concluding the results.
No competences in this bucket.
Use techniques to extract information or disassemble an ICT component, software or system in order to analyse, correct and reassemble or reproduce it.
Create an overall plan of objectives, practices, principles and tactics related to the use of technologies within an organisation and describe the means to reach the objectives, taking into account analyses and relevant regulations.
Perform research tasks such as recruitment of participants, scheduling of tasks, collecting of empirical data, data analysis and production of materials in order to assess the interaction of users with an ICT system, program or application.
Deal with the private legal rights that protect the products of the intellect from unlawful infringement.
Operate Open Source software, knowing the main Open Source models, licensing schemes, and the coding practices commonly adopted in the production of Open Source software.
Understand and use interfaces particular to an application or use case.
Identify key relevant funding sources and prepare research grant application in order to obtain funds and grants. Write research proposals.
Apply fundamental ethical principles and legislation to scientific research, including issues of research integrity. Perform, review, or report research avoiding misconducts such as fabrication, falsification, and plagiarism.
Use models (descriptive or inferential statistics) and techniques (data mining or machine learning) for statistical analysis and ICT tools to analyse data, uncover correlations and forecast trends.
Communicate about scientific findings to a non-scientific audience, including the general public. Tailor the communication of scientific concepts, debates, findings to the audience, using a variety of methods for different target groups, including visual presentations.
Conduct a comprehensive and systematic research of information and publications on a specific literature topic. Present a comparative evaluative literature summary.
Gather relevant information by applying systematic methods, such as interviews, focus groups, text analysis, observations and case studies.
Execute a systematic empirical investigation of observable phenomena via statistical, mathematical or computational techniques.
Work and use research findings and data across disciplinary and/or functional boundaries.
Use professional researching and interviewing methods and techniques to gather relevant data, facts or information, to gain new insights and to fully comprehend the message of the interviewee.
Plan scholarly research by formulating the research question and conducting empirical or literature research in order to investigate the truth of the research question.
Demonstrate deep knowledge and complex understanding of a specific research area, including responsible research, research ethics and scientific integrity principles, privacy and GDPR requirements, related to research activities within a specific discipline.
Develop alliances, contacts or partnerships, and exchange information with others. Foster integrated and open collaborations where different stakeholders co-create shared value research and innovations. Develop your personal profile or brand and make yourself visible and available in face-to-face and online networking environments.
Publicly disclose scientific results by any appropriate means, including conferences, workshops, colloquia and scientific publications.
Draft and edit scientific, academic or technical texts on different subjects.
Review proposals, progress, impact and outcomes of peer researchers, including through open peer review.
Apply mathematical methods and make use of calculation technologies in order to perform analyses and devise solutions to specific problems.
Influence evidence-informed policy and decision making by providing scientific input to and maintaining professional relationships with policymakers and other stakeholders.
Take into account in the whole research process the biological characteristics and the evolving social and cultural features of women and men (gender).
Show consideration to others as well as collegiality. Listen, give and receive feedback and respond perceptively to others, also involving staff supervision and leadership in a professional setting.
Produce, describe, store, preserve and (re) use scientific data based on FAIR (Findable, Accessible, Interoperable, and Reusable) principles, making data as open as possible, and as closed as necessary.
Be familiar with Open Publication strategies, with the use of information technology to support research, and with the development and management of CRIS (current research information systems) and institutional repositories. Provide licensing and copyright advice, use bibliometric indicators, and measure and report research impact.
Take responsibility for lifelong learning and continuous professional development. Engage in learning to support and update professional competence. Identify priority areas for professional development based on reflection about own practice and through contact with peers and stakeholders. Pursue a cycle of self-improvement and develop credible career plans.
Produce and analyse scientific data originating from qualitative and quantitative research methods. Store and maintain the data in research databases. Support the re-use of scientific data and be familiar with open data management principles.
Mentor individuals by providing emotional support, sharing experiences and giving advice to the individual to help them in their personal development, as well as adapting the support to the specific needs of the individual and heeding their requests and expectations.
Manage and plan various resources, such as human resources, budget, deadline, results, and quality necessary for a specific project, and monitor the project's progress in order to achieve a specific goal within a set time and budget.
Gain, correct or improve knowledge about phenomena by using scientific methods and techniques, based on empirical or measurable observations.
Apply techniques, models, methods and strategies which contribute to the promotion of steps towards innovation through collaboration with people and organizations outside the organisation.
Engage citizens in scientific and research activities and promote their contribution in terms of knowledge, time or resources invested.
Deploy broad awareness of processes of knowledge valorisation aimed to maximise the two–way flow of technology, intellectual property, expertise and capability between the research base and industry or the public sector.
Conduct academic research, in universities and research institutions, or on a personal account, publish it in books or academic journals with the aim of contributing to a field of expertise and achieving personal academic accreditation.
Master foreign languages to be able to communicate in one or more foreign languages.
Critically read, interpret, and summarise new and complex information from diverse sources.
Read and interpret scientific publications that present a research problem, the methodology, its solution and hypothesis. Compare them and extract the information needed.
Demonstrate the ability to use concepts in order to make and understand generalisations, and relate or connect them to other items, events, or experiences.
Use tools which allow users to copy and archive computer software, configurations and data and recover them in case of loss.
Synthetise and write proposals aiming to solve research problems. Draft the proposal baseline and objectives, the estimated budget, risks and impact. Document the advances and new developments on the relevant subject and field of study.
Present the hypothesis, findings, and conclusions of your scientific research in your field of expertise in a professional publication.
No competences in this bucket.
The open-source web server Apache Tomcat provides a Java web server environment which uses a built in container where HTTP requests are loaded, allowing the Java web applications to run on local and server based systems.
The interdisciplinary field between cognitive science and computer science that involves simulating human thinking processes through a computerised approach. It makes use of algorithms for data mining and natural language processing to imitate the functioning of the human brain.
The interdisciplinary scientific field that focus on employing data analytics and theories to investigate biological systems obtained through experiments.
The methods of artificial intelligence, machine learning, statistics and databases used to extract content from a dataset.
The characteristics of internal and external documentation types aligned with the product life cycle and their specific content types.
The process of classifying the information into categories and showing relationships between the data for some clearly defined purposes.
The techniques and methods used for eliciting and extracting information from unstructured or semi-structured digital documents and sources.
The techniques, models, methods and strategies which contribute to the promotion of steps towards innovation.
The JavaScript software development environments which provide specific features and components ( such as HTML generation tools, Canvas support or Visual design) that support and guide JavaScript web applications development.
The computer language LDAP is a query language for retrieval of information from a database and of documents containing the needed information.
The computer language LINQ is a query language for retrieval of information from a database and of documents containing the needed information. It is developed by the software company Microsoft.
The interdisciplinary field between mathematics and physics that deals with the mathematical foundations of theoretical physics. It addresses issues in quantum mechanics and atomic and molecular physics.
The computer language MDX is a query language for retrieval of information from a database and of documents containing the needed information. It is developed by the software company Microsoft.
The computer language N1QL is a query language for retrieval of information from a database and of documents containing the needed information. It is developed by the software company Couchbase.
The Not Only SQL non-relational database used for creating, updating and managing large amounts of unstructured data stored in the cloud.
The branch of computer science that follows the principles of quantum theory. It uses subatomic particles which are allowed to exist under more than one state thanks to quantum bits, or qubits.
The field of standardised computer languages for retrieval of information from a database and of documents containing the needed information.
The query languages such as SPARQL which are used to retrieve and manipulate data stored in Resource Description Framework format (RDF).
The software development environments or tools used to improve the efficiency of new software development by providing specific features that support and guide the development.
The computer language SPARQL is a query language for retrieval of information from a database and of documents containing the needed information. It is developed by the international standards organisation World Wide Web Consortium.
The computer language SQL is a query language for retrieval of information from a database and of documents containing the needed information. It is developed by the American National Standards Institute and the International Organization for Standardization.
The information that is not arranged in a pre-defined manner or does not have a pre-defined data model and is difficult to understand and find patterns in without using techniques such as data mining.
The computer language XQuery is a query language for retrieval of information from a database and of documents containing the needed information. It is developed by the international standards organisation World Wide Web Consortium.
The investigation and analysis of subject behaviour through regulated and lifelike observations and disciplined scientific experiments.
The tools used to transform large amounts of raw data into relevant and helpful business information.
A programme run on a computer that represents dynamic responses of a system to explore a mathematical model behaviour, using a model of a real system, composed of mathematical equations.
The process of developing and constructing systems for implementing data collection and analysis at large scale.
The process of transforming an object from its analogical form to a digital format. It creates a digital representation of the object without making in-kind changes to it.
The recent trends, developments and innovations in modern technologies such as biotechnology, artificial intelligence and robotics.
A process designed to detect and identify a feature or object in an image or video. This process is used in medical imaging, security surveillance or defect detection, among other fields. Key technique for a wide range of applications such as automated driving, image classification, or visual inspection.
The application of scientific methods to provide solutions to administrative and management issues of organised systems as industrial, commercial, or governmental processes.
The interdisciplinary field between computer science, mathematics and engineering. It concerns the employment of technical approaches and theoretical frameworks, and the use of computers, to address issues in science and engineering.
No competences in this bucket.
Download, install and update software to prevent, detect and remove malicious software, such as computer viruses.
Create and describe new original research and innovation ideas within the field of information and communication technologies, compare to the emerging technologies and trends and plan the development of new ideas.
Explore large datasets to reveal patterns using statistics, database systems or artificial intelligence and present the information in a comprehensible way.
Retrieve information from a database or information system using computer languages designed for the retrieval of data.
Be familiar with blended learning tools by combining traditional face-to-face and online learning, using digital tools, online technologies, and e-learning methods.
Solve problems which arise in planning, prioritising, organising, directing/facilitating action and evaluating performance. Use systematic processes of collecting, analysing, and synthesising information to evaluate current practice and generate new understandings about practice.
Apply and combine different computer vision tools and methods such as image acquisition, image processing, image segmentation and classification, detection, etc. in one system to allow computers to extract information from digital images such as photographs or video.
Reach out to and meet up with people in a professional context. Find common ground and use your contacts for mutual benefit. Keep track of the people in your personal professional network and stay up to date on their activities.
Enter information into a data storage and data retrieval system via processes such as scanning, manual keying or electronic data transfer in order to process large amounts of data.
Produce research documents or give presentations to report the results of a conducted research and analysis project, indicating the analysis procedures and methods which led to the results, as well as potential interpretations of the results.
Instruct students in the theory and practice of academic or vocational subjects, transferring the content of own and others' research activities.
Use software tools to create digital presentations which combine various elements, such as graphs, images, text and other multimedia.
Use software tools to create and edit tabular data to carry out mathematical calculations, organise data and information, create diagrams based on data and to retrieve them.