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research, administration and technology and is led by Professor Anna Falk. Linked to the group is the preGMP facility, an infrastructure for process and assay development and clinical translation of cell and
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at the intersection of AI and advanced electron microscopy. The project focuses on developing novel self-supervised and physics-informed deep learning methods to restore and denoise Transmission
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are affected by chemical composition and crystal structure. For example, it studies how the process parameters and synthesis methods affect material properties. An important area is new magnetic materials based
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by combining state-of-the-art computer simulations, physical experiments, and clinical studies in radiology departments at the hospitals in the region. You will work in a multi-disciplinary team and
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process Interested candidates please send a motivation letter, a CV including publications (if available), copies of university degrees and courses (including obtained grades), and the names and e-mail
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goal is to integrate physical priors — including periodicity, symmetry, and long-range correlations — directly into the learning process to achieve more robust, interpretable, and scientifically
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Environmental Physics, Soil Mechanics and Soil Management, and the Biogeochemistry of Forest Soils. We are responsible for important research infrastructure in the form of soil chemistry and soil physics
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. During the selection process, candidates will be assessed upon their ability to: independently pursue his or her work collaborate with others, have a professional approach and analyze and work with complex
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the physical layer but can also cover aspects of the media access control and network layers. The research is expected to use methodology from signal processing, communication theory, mathematics, wave
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for this role, you will need to have the following qualifications/experience: Have a PhD in chemistry, physics or closely related subject At least three years of professional research experience (after PhD) in