205 assistant-professor-computer-science-"https:"-"https:"-"https:"-"https:" Postdoctoral positions in Denmark
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and interpretation of proteolysis signatures). Apply molecular biology and microbial engineering to investigate functionality of microbial systems, particularly involving large membrane-bound enzymes
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, including robotic control, mechanics of materials, fluid mechanics and biological systems, in collaboration with other researchers and companies. Your profile Applicants should hold a PhD in Computer Science
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, including robotic control, mechanics of materials, fluid mechanics and biological systems, in collaboration with other researchers and companies. Your profile Applicants should hold a PhD in Computer Science
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period of employment is 2 years. You can read more about career paths at DTU here . Further information Further information may be obtained from Associate Professor Ziwei Ouyang . You can read more about
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Job Description Center for Nano-Immune Cell-Engineering (NICE) at the Department of Health Technology (DTU Health Tech) invites a highly motivated Postdoctoral Researcher to join our group in
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Job Description Are you searching for a position that will allow you to expand on your interest and experience in interdisciplinary research linking cell biology with quantum physics and
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of computational methods. Your job responsibilities As a Postdoc your position is primarily research-based but may also involve teaching assignments. You will contribute to the development of the department through
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biosynthetic pathways for microbially-derived molecules and understanding how microbial molecule production can be modulated for disease prevention and therapeutic benefit. Using a combination of computational
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. For further information, please contact head of group, Professor Christian Riis Flor, e-mail crf@sam.sdu.dk . How to apply for this position Applicants are encouraged to read the information "How to apply
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Job description - Developing device-to-architecture level models of emerging nanoscale devices (spintronic, resistive, or hybrid) for in-memory and neuromorphic computing. - Exploring hardware-level