87 postdoc-computer-science-logic PhD positions at Technical University of Denmark in Denmark
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the research group Bioactives Analysis and Applications, and as part of the prestigious Alliance PhD program, you will collaborate with the Technical University of Munich (Germany). If you're ready to
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) or a similar degree with an academic level equivalent to a two-year master's degree in bioinformatics, computational biology, evolutionary genomics, or a related field Proficiency in programming
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at the intersection of regeneration and entrepreneurship? If so, this PhD position in Regenerative Entrepreneurship may be the right opportunity for you. The Centre for Technology Entrepreneurship (DTU Entrepreneurship
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partners across Europe to deliver a world-class doctoral training programme in risk assessment, resilience engineering, and smart technologies. Its scientific vision targets: (1) the development of a
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research. Successful applicants will ideally have: A relevant MSc degree in computer science, data sciences, applied mathematics, statistics, operations research, control, electrical engineering, energy
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, and Computational Social Science. This position is funded under the DTU-JRC Collaborative Doctoral Partnership. Responsibilities and qualifications Your primary responsibilities are: Become familiar
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Job Description The Department of Health Technology at the Technical University of Denmark (DTU Health Tech) invites applications for a PhD fellowship in the field of RNA therapeutics and
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for Science & Technology (KAIST), and an external stay at KAIST will be included as part of the PhD program. Qualifications Proficiency with Python Experience implementing various Machine Learning algorithms
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engineering, in an exciting combination of academic and industrial environments. Responsibilities and qualifications Within the scientific area, the researcher is expected to advance the Department's activities
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motivated PhD student with a background in biomedical or pharmaceutical engineering, biomedical sciences or similar. You will work under the supervision of Assistant Professor Lisa Maria Riedmayr