95 postdoc-computer-science-logic PhD positions at Technical University of Denmark in Denmark
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                Job Description Are you passionate about brain-computer interfaces (BCIs), neurorehabilitation, and intelligent assistive technologies? The Department of Health Technology (DTU Health Tech 
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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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                PhD scholarship in Runtime Multimodal Multiplayer Virtual Learning Environment (VLE) - DTU Constructleading universities, research institutes, and industrial partners across Europe to deliver a world-class doctoral training programme in risk assessment, resilience engineering, and smart technologies. Its 
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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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                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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                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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                , 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