95 software-verification-computer-science PhD positions at Technical University of Denmark in Denmark
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of AI/ML will be an added advantage. Proficiency with optimization tools and software like GAMS, CPLEX Proficiency with programming languages preferably Python, Matlab Fluency in communication and
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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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of technology, contribute to maritime security, or lead innovations in the growing field of autonomous systems, this PhD position will equip you with the skills, knowledge, and experience to succeed. If you are
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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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, biochemistry, molecular biology, biotechnology, or a related discipline. You must have: Expertise in either computational protein design or wet lab techniques, with a willingness to learn the complementary skill
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Job Description Are you passionate about artificial intelligence, bioinformatics, food safety, and creating real-world impact through cutting-edge technology for improving food safety? Do you want
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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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, 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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understanding of environmental assessment and are comfortable working in a laboratory environment. A background in chemical risk assessment (including exposure analysis, analytical chemistry, ecotoxicology, and
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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