computational biology
The interdisciplinary scientific field that focus on employing data analytics and theories to investigate biological systems obtained through experiments.
Biometricians perform research in the field of biometrics. They carry statistical or biological research projects by measuring fingerprints, retinas, and human shapes for medical or industrial applications.
No competences in this bucket.
The interdisciplinary scientific field that focus on employing data analytics and theories to investigate biological systems obtained through experiments.
The science that statistically analyses human characteristics such as retina, voice or DNA for identification purposes.
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 study of the processes related to cells, molecules and living organisms.
Mathematics is the study of topics such as quantity, structure, space, and change. It involves the identification of patterns and formulating new conjectures based on them. Mathematicians strive to prove the truth or falsity of these conjectures. There are many fields of mathematics, some of which are widely used for practical applications.
The research technique where a common issue is investigated using approaches from different disciplines with the aim of finding a comprehensive solution to it.
The set of methods and techniques of research that are used to conduct a study. It includes practical steps in research such as purpose statement, data collection, methodology, and data analysis.
Scientific activity consisting in selecting the relevant aspects of a situation and aiming to represent physical processes, empirical objects and phenomena to allow a better understanding, visualisation or quantification, and to enable simulation that shows how this particular subject would behave under given circumstances.
The theoretical methodology used in scientific research involving doing background research, constructing an hypothesis, testing it, analysing data and concluding the results.
The study of statistical theory, methods and practices such as collection, organisation, analysis, interpretation and presentation of data. It deals with all aspects of data including the planning of data collection in terms of the design of surveys and experiments in order to forecast and plan work-related activities.
No competences in this bucket.
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.
Outline the research methodologies and schedule in order to ensure that the research can be thoroughly and efficiently executed and that the objectives can be met in a timely manner.
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.
Work and use research findings and data across disciplinary and/or functional boundaries.
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.
Develop and record the procedural method used for a specific scientific experiment in order to enable its replication.
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.
Analyse data gathered from sources such as market data, scientific papers, customer requirements and questionnaires which are current and up-to-date in order to assess development and innovation in areas of expertise.
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.
Demonstrate the ability to use concepts in order to make and understand generalisations, and relate or connect them to other items, events, or experiences.
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 branch of chemistry that aims at addressing complex chemical problems through computer simulations.
The study of proteomes (i.e., the complements of proteins within cells, tissues or organisms), and their interactions and behaviours, under specific conditions.
The techniques and principles of software development, such as analysis, algorithms, coding, testing and compiling of programming paradigms in SAS language.
The approaches for employing statistical analysis to dataset within the data science field. It seeks to elaborate reality predictions through statistical models and explicit assumptions.
The biological development of human embryonic stem cells, together with the ethical concerns related and the legal requirements involved.
Tissues, cells, and functions of plant and animal organisms and their interdependencies and interactions with each other and the environment.
Software program which converts screen elements such as text, images, or buttons, displayed in the computer into Braille or speech. Assistive technology used by visually impaired or blind people to interpret what appears on the computer screen through braille output, audio icons or speech synthesisers.
Specific software system (SAS) used for advanced analytics, business intelligence, data management, and predictive analytics.
Contribute to the development or optimisation of technological systems that rely on specific biological data run through algorithms in order to identify people.
Transpose a series of requirements into a clear and organised software design.
Formulate scientific theories based on empirical observations, gathered data and theories of other scientists.
Develop and manage methods and strategies used to maximise data quality and statistical efficiency in the collection of data, in order to ensure the gathered data are optimised for further processing.
Prepare equipment and facilities for the session ensuring compliance with industry and national guidelines for normal operating procedures and plan timings and sequences for the session.
Advise officials in a legislature on the propositioning of new bills and the consideration of items of legislation.
Be familiar with blended learning tools by combining traditional face-to-face and online learning, using digital tools, online technologies, and e-learning methods.
Employ various approaches, learning styles, and channels to instruct students, such as communicating content in terms they can understand, organising talking points for clarity, and repeating arguments when necessary. Use a wide range of teaching devices and methodologies appropriate to the class content, the learners' level, goals, and priorities.
Monitor environmental impacts and carry out assessments in order to identify and to reduce the organisation's environmental risks while taking costs into account.
Work with fellow scientists on clinical trials in order to improve medical methods for preventing, detecting, diagnosing, or treating diseases.
Assist engineers or scientists with conducting experiments, performing analysis, developing new products or processes, constructing theory, and quality control.
Conduct the procedures of a public survey from the initial formulation and compilation of the questions, identifying the target audience, managing the survey method and operations, managing the processing of acquired data, and analysing the results.
Participate in the various development stages of computer programs for econometric and statistical analysis, such as research, new product development, prototyping, and maintenance.
Collect data resulting from the application of scientific methods such as test methods, experimental design or measurements.
Apply database design schemes and models, define data dependencies, use query languages and database management systems (DBMS) to develop and manage databases.
Prepare content to be taught in class in accordance with curriculum objectives by drafting exercises, researching up-to-date examples etc.
Prepare charts and graphs in order to present data in a visual manner.
Ensure that the necessary materials for teaching a class, such as visual aids, are prepared, up-to-date, and present in the instruction space.
Instruct students in the theory and practice of academic or vocational subjects, transferring the content of own and others' research activities.
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.
Compose work-related reports that support effective relationship management and a high standard of documentation and record keeping. Write and present results and conclusions in a clear and intelligible way so they are comprehensible to a non-expert audience.