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. The ideal candidate will have a strong background in Physics, Geophysics, Materials Science, Computation, Engineering, or a related discipline. Documented research experience in one or more of the following
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employment is 2 years. You can read more about career paths at DTU here . Further information Further information may be obtained from Head of Section, Professor Peter Vang Hendriksen (pvhe@dtu.dk
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the wider scientific community Formal qualifications You must hold a PhD degree in chemical engineering, computer science, software engineering, data science, or a related discipline. We offer DTU is a
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: Background in Data Science, Computer Science or related fields; Working experience in implementing AI models (not just loading pre-trained model). PyTorch framework is preferred; Experience with APIs
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Development and Demonstration Programme. The position is affiliated with the Section for Mechanical Technology and will be under the supervision of Associate Professor Jonas Sundberg. The project focuses
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main workplace will be at DTU Lyngby Campus. You can read more about career paths at DTU here . Further information Further information may be obtained from Professor Niels B. Larsen at nibl@dtu.dk . You
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candidate will have a strong background in physics, geophysics, materials science, computation, engineering, or a related discipline. Documented research experience in one or more of the following areas will
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-driven research team. This position will be affiliated with the teams of Associate Professors Chiara Francavilla and Erwin Schoof in the Section for Medical Biotechnology at the Department of Biotechnology
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Job Description Are you looking to grow your career in intelligent embedded systems and edge computing? Join the Embedded Systems Engineering (ESE) research section at DTU Compute , where your