1,601 machine-learning-"https:" "https:" "https:" "https:" "https:" "University of St" "St" positions at Nature Careers
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motivated to move the area of enzyme engineering to the next level, while having a positive impact on our world. When joining our team, you get the opportunity to use the latest algorithms in machine learning
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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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Job Description SJCRH St. Jude Children's Research Hospital has established an expansive and multicomponent initiative in translational neuroscience with a mission to understand and treat
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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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computational approaches for high-dimensional data analysis. https://www.epelmanlab.com/ http://www.uhnresearch.ca/researcher/slava-epelman @EpelmanLab This role has direct mentorship and guidance in grant
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the HNSCC team, including Taran Gujral (machine learning-enabled drug screening), Slobodan Beronja (mouse models of HNSCC), and Patrick Paddison (functional genomics). This work will encompass a broad array