35 scientific-programming Postdoctoral positions at Technical University of Denmark in Denmark
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computational chemistry or physics will be preferred, but candidates with a solid background in statistics, computer science, and/or mathematics are also encouraged to apply. Programming skills (e.g., Python
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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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English skills. You should strive towards scientific excellence and be ambitious and hard-working. The preferred candidate shall have background / experience in the following areas: Solid Mechanics
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Chemistry at the National Food Institute, Technical University of Denmark (DTU). This is a full-time position within a dynamic and impactful environment where scientific excellence directly supports European
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engineering in Europe. The department conducts research, development & scientific advice and provides educational programs and service to society. We are working to develop new environmentally friendly and
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single-cell analysis of cell signalling, this three-years postdoc position at DTU Bioengineering will fulfil your scientific and personal development in an international, multi-disciplinary, and curiosity
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wave particle and sediment transport Development of a novel model for suspended sediment Dissemination of research findings in scientific journals and international conferences Release of the developed
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institutional context, job roles and available resources. You will be employed at DTU Management and be associated with the section for Organisation Science and Technology. You will work physically from CAISA
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drive. In particular, we are looking for academic excellence and/or demonstrated scientific achievements. We also expect you to have a strong ability to conceive new ideas, construct high-performance
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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