96 postdoc-computer-science-logic PhD positions at Technical University of Denmark in Denmark
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Job Description DTU, Department of Civil and Mechanical Engineering, the Section for Manufacturing Engineering invites applications for a PhD position (3 years) on the topic of simulation of process
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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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) 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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PhD scholarship in Runtime Multimodal Multiplayer Virtual Learning Environment (VLE) - DTU Construct
leading 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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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
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printing, embedded sensing, and adaptive control, aiming to meet the unique challenges of automation in life science environments. Research tasks and qualifications The main purpose of this PhD position is
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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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, 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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for Digital Building Technologies, Department of Civil and Mechanical Engineering, Technical University of Denmark (DTU). The research project will be carried out in collaboration with a team of DTU researchers
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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