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programming and ease with formal thinking are prerequisites. The project is based on the novel application of formalisms, algorithms, and computational methods from computer science to the modeling of microbial
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department at Aarhus University Hospital, within the Institute of Clinical Medicine at Aarhus University. Researchers in the department use advanced epidemiological methods to study the prognosis of patient
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of the department's modern laboratory-, core- and animal facilities. The Department of Biomedicine focuses on innovation, entrepreneurship and collaboration with business and industry, and numerous researchers from
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production and quality control will help save natural resources as well as reduce waste material and energy consumption. Formulation and test methods using mathematical modelling and prediction tools. Fouling
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We are seeking candidates for a post-doctoral position within the field of correlated disorder in crystals. The position is for three years. In case further external funding is secured within
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will develop imaging-driven quantitative Mass Spectrometry-based omics methods, both at bulk population and single-cell levels, for this project. You will work closely with experts in cellular signalling
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We are seeking candidates for a post-doctoral position within the field of correlated disorder in crystals. The position is for three years. In case further external funding is secured within
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to computational tools like RFdiffusion, ProteinMPNN, or AlphaFold. Experience with mammalian cell culture in two and/or three dimension Ability to perform biochemical and imaging methods Strong analytical skills
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(e.g., based on physiological signals or direct inputs from occupants) and developing algorithms, including machine learning methods. The work will include statistical modelling, data-driven modelling
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on women displaced with children and applies qualitative, visual and ethnographic methods in studying their everyday life, local and transnational relations and encounters with the Danish welfare state (Work