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microscopy, optical interferometry, vacuum technology, finite element method simulations will be involved. Applicants should hold a PhD in Physics, Nano-science, Engineering or similar, experience with optics
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level, e.g. in medical physics, physics, biomedical engineering or computer science. It is mandatory that your PhD degree is on a topic relevant for this specific position, e.g. in medical image-based
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We are looking for a highly motivated postdoctoral researcher to join an interdisciplinary research project on enzymatic PFAS degradation at the Department of Biological & Chemical Engineering of
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decomposed into modular sub-components that can be either process-based models and/or deep learning models. MCL has the flexibility to replace any uncertain process description with a deep learning model
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, physics, computer science, applied mathematics, or similar Required competences Strong background in image processing and analysis, especially Deformable image registration and 3D segmentation methods
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. The positions are initially limited to two years. Our research is at the cutting edge of XR technology, and foundations in perception, attention, graphics and vision. As a postdoc, you would contribute to new
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cell expression systems as well as a strong background in protein biochemistry and structural biology (x-ray crystallography and cryoEM) is required. The post doc will use different biophysical
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more than 20 countries. We perform basic and applied research within plant, livestock and human quantitative genetics. Our focus areas include quantitative genetics, artificial intelligence applied
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at the Department of Electrical and Computer Engineering, Aarhus University, where we are advancing communication-efficient and distributed foundation model inference across the computing continuum
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copies to Aarhus BSS HR & PhD, Aarhus University, Bartholins Allé 16, DK-8000 Aarhus C. Read more about how to apply for an academic post at Aarhus BSS here The evaluation process After the application