1,550 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "University of St" "St" "St" positions at Nature Careers
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We are seeking a Clinical Research Associate I or II to join our team within the Center for Experimental Neurotherapeutics (CENT), a newly established clinical research program at St. Jude
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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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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. For more information, please visit
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Lavis Lab, please visit https://www.janelia.org/lab/lavis-lab About the role: In this role, you will support the vision of Open Chemistry by designing and synthesizing fluorescent dyes and other small
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SJCRH Be the force behind the cures. From analyzing complex biomedical data in pediatric cancer to creating innovative technologies and computational tools, your work at St. Jude can directly impact
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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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in resulting companies, etc. The work will comprise machine learning research for analysing large-scale clinical data, including time-series physiological data, blood test data, medications
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, or methodologies in bioengineering. This search has a particular focus in immunology, neuroscience, and/or computational science/machine learning. That said, we give high priority to the overall originality and
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the Appointment Portal of the University of Bonn (https://berufungsportal.uni-bonn.de ). The application can be submitted in German or English by May 8, 2026. Dean’s Office in the Faculty of Medicine University
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design and discovery, including the use of artificial intelligence (AI) and machine learning (ML) techniques. The hired candidate will focus on computational aspects of immune repertoire analyses