100 software-verification-computer-science PhD positions at Technical University of Denmark in Denmark
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(CAD, e.g., SolidWorks, CATIA) and engineering (CAE, e.g., Abaqus, Ansys) software tools commonly used in additive manufacturing, structural design and related research (e.g., parametric design tools
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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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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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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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of operating zinc-air batteries. Use automated Rietveld refinement for analysis of large data sets and Computed Tomography analysis of the imaging data. Dissemination of research results. Qualifications expected
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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