936 machine-learning-"https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" uni jobs at Nature Careers
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DTU Tenure Track Assistant Professor in Microbial ecology and microbiome engineering - DTU Bioeng...
conferences and scientific networks. Engage in interdisciplinary collaborations within the department and across institutional and external partners, including academia and industry Teach and contribute
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. The subject of the PhD should be within the areas of expertice of the laboratory for Cognitive Research in Art History ( https://crea.univie.ac.at/). Your future tasks: PhD thesis, preferably in
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, University of Gothenburg. General information about being a doctoral student at the University of Gothenburg can be found on the university's doctoral student pages. https://www.gu.se/en/doctoral-studies
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Assistant Professor in Marine Biology & Ecology - Biomedical Science or Quantitative Systems Ecology
ecologist working in coastal systems, who applies modern approaches in causal inference, experimental ecology, spatial modelling, and data science, including the use of machine learning to produce rigorous
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, metals and their surfaces. Machine learning methods are used to close the complexity gap. Currently, the group consists of three full professors, one associate professor, 6 postdocs and about 15 PhD and 7
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for managing smart cities. The team has gained substantial experience in machine learning for road traffic monitoring. They are now keen to thoroughly explore the additional opportunities presented by
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. You will work on developing and applying foundational methods for the synthesis of large genomes, specifically the human genome. For further background information see https://www3.mrc-lmb.cam.ac.uk
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multiple AI fields, including machine learning (including deep learning, foundation models or agentic AI), human-centered AI (including social computing, multi-modal processing or robotics), digital security
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of medical science, and educators to advance learning. We are proud to be part of progress, working together with the communities we serve to share knowledge and bring greater understanding to the world
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information on professorships, hiring processes, and the German academic system can be found here: https://uni-tuebingen.de/en/213700. Questions regarding the Cluster of Excellence can be directed