413 evolution-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Central-European-University" positions in Denmark
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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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for a two-year postdoc, ideally starting August 1st, 2026. The position will encompass the ethnographic study of wind energy infrastructure development in Norway. The postdoc is part of the Sapere Aude
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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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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
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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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create novel methods and technologies as a foundation for development of new environmentally friendly products, better and less energy consuming manufacturing processes, development of sustainable novel
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to engage in independent research and is encouraged to establish a research group based on external funding. Moreover, teaching classes (both existing or development of new) in our educational programs
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this knowledge to suggest new ways to optimise catalytic reactions. Overall, you will contribute to the development of AI-enhanced autonomous workflows for interface. These implementations will be general and will