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ASSOCIACAO ISCTE CONHECIMENTO E INOVACAO - CENTRO DE VALORIZACAO E TRANSFERENCIA DE TECNOLOGIAS | Portugal | about 1 month ago
supervision of Professor Maria Manuela Mendes, PhD. Where to apply Website https://recrutamento.conhecimentoinovacao.iscte-iul.pt/jobs Requirements Research FieldOtherEducation LevelMaster Degree or equivalent
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Course Description: This course will introduce the fundamental concepts of information and communication technology for those students with a health science background, but no formal training in computer
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, with the goal of improving the health of all Virginians. The candidate will contribute to implementing research initiatives that apply big-data analytics, data science, and community-engaged methods
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Analysis. We aim at the formalization and sound empirical evaluation of security methodologies and solutions from risk assessment and threat analysis to mining software vulnerabilities and analyzing Java and
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of more of the following is desired: software engineering and systems design, formal methods, verification, and/or modelling, design and techniques for resilient and reliable systems (e.g. decentralised
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the Norwegian educational system The purpose of the fellowship is research training leading to the successful completion of a PhD degree. For more information see: http://www.mn.uio.no/english/research/phd/ All
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and legislation. Patent authorship and co-authorship, records of ownership of intellectual property rights regarding software, mathematical methods and rules of mental activity. Participation in
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the evaluation of this initiative through a multi-year, mixed methods analysis around the implementation process of PHMI and the achievement of its intended goals. Responsibilities Create and maintain standardized
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from the requirements: https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8 Grade requirements: The norm is as follows: The average grade point for courses included in
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overall interest in AI concepts and methods, in particular human-centred AI, and expertise in formal models and machine learning, as demonstrated by publications and other scientific output. Ideal