75 post-doc-image-engineering-computer-vision Postdoctoral research jobs at Technical University of Denmark in Denmark
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control, open-source background checks may be conducted on qualified candidates for the position. DTU Health Tech With a vision to improve health and quality of life through technology, DTU Health Tech
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Job Description We are seeking a highly motivated and talented Postdoctoral Researcher to join our team and contribute to our cutting-edge quantum computing project. This ambitious project focuses
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3D micro and nano-imaging. Close collaboration with the interdisciplinary team at DTU Construct, DTU 3D Imaging Centre, and DTU Compute, particularly the other “MathCrete” postdoc at DTU Compute (see
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use your skills to answer fundamental biological questions in health and disease. The successful candidate is expected to leverage their skills in proteomics and computational analysis to interrogate
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for security and export control, open-source background checks may be conducted on qualified candidates for the position. DTU Health Tech With a vision to improve health and quality of life through technology
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. Collaborate closely with industrial partners to integrate MD technology into sustainable energy and water management practices. Publish high-quality research articles, present findings at international
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. The position is part of a project funded by the Energy Technology Development & Demonstration Programme (EUDP). The project is led by Associate Professor Jonas Sundberg and is an interdisciplinary collaboration
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Job Description DTU Aqua (The National Institute for Aquatic Resources, Technical University of Denmark) offers a 2-year Post doc position focused on the functional ecology of phagotrophic
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described through five overall research areas: Diagnostic Imaging, Digital Health, Personalised Therapy, Precision Diagnostics, and Sensory and Neural Technology. Our technologies and solutions are developed
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paradigm shift in development of Biologics. A critical challenge preventing this is the current limiting volume of high quality and well-characterized in-vitro T cell immunogenicity data. In this project, we