276 machine-learning "https:" "https:" "https:" "https:" "https:" "University of St" "St" "St" Postdoctoral research jobs at Nature Careers
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translation in mind. Our partners are the Medical University of Vienna, the St. Anna Children’s Cancer Research Institute (CCRI) and AITHYRA, the newly founded Research Institute for Biomedical AI
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Job Description St. Jude is seeking outstanding candidates for postdoctoral fellowship positions in the Childhood Hematological Malignancies Training Program. This prestigious, NIH-sponsored T32
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of the following methodologies: optogenetics, calcium imaging, viral tracing, tissue clearing, murine behavioral phenotyping, machine-learning behavioral analysis Familiarity with programming languages
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the National Academy of Medicine. St. Jude is ranked on Fortune Magazine's "Best Workplaces in Health Care & Biopharma" and Glassdoor's "Best Places to Work," and is located in the heart of Memphis
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Aarhus University (http://bio.au.dk/en) and work in the Archaea Group (https://bio.au.dk/en/research/research-areas/microbial-processes-and-diversity/archaea-group), Section for Microbiology
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Postdoctoral Positions for Computational Genomics, Cancer Genetics, and Translational Cancer Biology
mechanism-driven AI and agentic AI frameworks (iGenSig-AI, G2K) that integrate biological knowledge with cutting-edge machine learning to transform omics data into actionable therapeutic insights
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, Department of Epidemiology and Cancer Control Department of Epidemiology and Cancer Control St. Jude Children's Research Hospital Heather.Brandt@stjude.org Learn more about the HPV Cancer Prevention Program at
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infrastructures organized in infrastructure platforms, of which the Vibrational Spectroscopy Core Facility (ViSp) is a central infrastructure for this project (https://www.umu.se/en/research/infrastructure/visp
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senior research position to work on projects related to computational analysis of mass spectrometric datasets. A major focus will be on the application of AI/machine learning models and other computational
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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