397 evolution-"https:"-"https:"-"https:"-"https:"-"https:"-"Iscte-IUL" positions in Denmark
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the development of computational thinking. In short: “Teach students how to fish – and occasionally hand out a free fish.” We expect that you: Have completed the DAM course or a related subject with good results
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dynamics information. As a postdoc, you will contribute to the development of single molecule fluorescence real-time imaging methodologies using both experimental approaches, involving model nucleic acids
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The Department of Agroecology at Aarhus University, Denmark, invites applications for a position as Professor in the area of Ecology, Evolution, and Management of Weeds in Agroecosystems
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dynamics information. As a postdoc, you will contribute to the development of single molecule fluorescence real-time imaging methodologies using both experimental approaches, involving model nucleic acids
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. The researcher will play a central role in the establishment, development, and scientific operation of DanSIBAR. This includes contributing to the installation and commissioning of equipment, development of data
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professorship in AI Accelerator Circuits and Architectures. The position is aimed at candidates with a strong and documented track record in hardware accelerator development, with demonstrated experience in AI
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to answer questions around seed longevity, seed development, dormancy and germination in response to abiotic stresses. We expect that you will be an important part of the research environment and that
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bioavailability of micronutrients, and strategies to produce and process plant-based foods with enhanced concentration of micronutrients as an integrative part of sustainable and healthy diets. Development
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contribute to the development of background-suppression techniques for single‑photon detectors used in axion experiments, operating at optical and infrared wavelengths. The research project includes
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collaboration with our team. You will: Develop ML methods to handle conditional data generation mechanism in the development pipeline, and for optimization and simulation Develop ML methods for uncertainty