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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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Join us at the Department of Electrical and Computer Engineering at Aarhus University for a postdoctoral position focused on deep learning based analysis of remote sensing data for groundwater
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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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candidates will be involved in materials crystallography research in collaboration with other members of the Iversen group. The candidates must have a PhD in chemistry, crystallography, physics, materials
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medicine. The lab invented the RNA origami method that allows rational design of RNA scaffolds and devices for expression in cells [1] and have recently developed RNA origami robots that can sense, compute
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power. The project is funded by an ERC Starting Grant, the flagship funding program of the European Union, which supports frontier, cutting-edge research. Read more about the project here in an interview
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advice, and education. We offer professional laboratories, greenhouses, semi-field, and field-scale research facilities, advanced computing capacities as well as an extensive national and international
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to quickly and accurately identify their subtype. At present, patient subtypes are decided using only clinical observations, and the process is highly suboptimal. For example, the available subtypes are often
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physically and functionally coupled across domains of life. The project will involve working with syntrophic deep-sea consortia, performing strictly anoxic physiological experiments, and developing electrode
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research infrastructure, laboratories, equipment, and highperforming computing clusters. Place of work The place of work is C.F. Møllers Allé 3, Bldg. 1130, 8000 Aarhus C. The area of employment is Aarhus