44 evolution "https:" "https:" "https:" "https:" "https:" "https:" research jobs at Nature Careers in Denmark
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refer to http://mbg.au.dk/ for further information about The Department of Molecular Biology and Genetics and to https://nat.au.dk/ and http://www.au.dk/ for information on Faculty of Natural Sciences
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national and international collaborations and access to world-class infrastructure. Lab website: https://www.sahu-lab.com/index.html Department of Molecular Medicine (IMM) The Department of Molecular
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Europe funded by the Lundbeck Foundation. DANDRITE: https://dandrite.au.dk/ Lab website: https://www.synaptic-logistics-lab.com/ What we offer The department/centre offers: a well-developed research
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Society at the Department of Food Science, Aarhus University (http://food.au.dk/en/foodresearch/science-teams/food-quality-perception-society/ ). The focal area for the position will be different tasks
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Physics at https://physics.dtu.dk/ . If you are applying from abroad, you may find useful information on working in Denmark and at DTU at DTU – Moving to Denmark . Application procedure Your complete online
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postdoc position within a stimulating, supportive, and dynamic research environment. Opportunity for career development and expanding your scientific skill sets within project management, teaching
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DTU Tenure Track Researcher in Low-Noise Supercontinuum Lasers and Supercontinuum Laser based Opt...
lasers to generate low-noise supercontinua and frequency combs, perform advanced spectral and noise characterization, and use them for OCT. In particular you will be in charge of in-house development
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for this position will be: Solid modeling and design of high-performance integrated photonic devices Process development of low-loss photonic integrated circuits on different material platforms Heterogeneous
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engaged scientific environment at the Section for Arctic Ecosystem Ecology (for more information see: https://ecos.au.dk/en/researchconsultancy/research-areas/arctic-ecosystem-ecology ). The department is
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software development experience, and intimate knowledge of machine learning frameworks (such as PyTorch and Transformers) are advantageous. Publications in top ML/NLP venues such as NeurIPS, ICLR, ICML, ACL