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data (e.g. instrumental, laboratory, environmental, numerical and categorical data, text, geospatial data or time series); c) Experience in Python programming and in data analysis and machine learning
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) Curriculum evaluation and experience in Computer Vision in the area of agriculture (60%); b) Experience in participating in research projects (20%); c) Programming experience (20%) 10. Selection Jury
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Web of Science in the required fields of knowledge; c) Have experience in the development of optimization models and methods, as well as their implementation and testing. 5. Formalization
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; Criterion C – Alignment with the CMU Portugal Program main areas (15%), namely the alignment of the candidate´s application to one or more CMU Portugal Program research areas (more information available here
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nationals of other EU Member States b) Nationals of third countries c) Stateless persons d) Beneficiaries of political refugee status II - Grant location: Department of Informatics Engineering, University
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diploma. c) Copies of the five most relevant publications in the field of Brain-Computer Interfaces. d) Motivation letter (english). e) Other documents relevant to the evaluation of qualifications. 7.3
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) Publications in the area of Microbiology, biofilms, biochemical markers and molecular tools – up to 4 points, Publications in other areas – up to 2 points c) Research Experience in the project area – up to 4
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do grau. b) Experiência comprovada em investigação científica na área temática de Cultura e Políticas Culturais. c) Experiência comprovada de atividades de extensão e disseminação de conhecimento e
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involving robotics, computer vision, SLAM, mobile sensing, sensor fusion, or related areas will be valued. Criterion a3. Technical and programming skills (30%). Strong proficiency in Python or C++, and
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experience in modeling (60%); b) Experience in participating in research projects (20%); c) Experience in programming in Python and related languages (20%). 10. Selection Jury Composition: Ana Isabel Pereira