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comprehensive and competitive medical and dental care programs, generous retirement benefits, and a wide array of family-friendly and cultural programs to eligible team members. Learn more at: https
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Germany | 9 days ago
AI in biology. The successful candidate will design and implement physics-informed machine learning frameworks and predictive models to uncover how gene expression and mechanical forces interact
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biomedical science, quantum computing, and artificial intelligence and machine learning. The Luddy School of Informatics, Computing, and Engineering is the first of its kind and among the largest in
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Computing Applications group in CSD has an immediate opening for a Postdoctoral Research Associate to design, develop, and deploy machine-learning and high-performance computing workflows, algorithms, and
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starting on day one 401(k) retirement plan A work environment that values dedication, learning, and work-life balance Benefits Overview: https://employment.utah.edu/benefits/ Parking Information: https
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Fraunhofer IGD and the FBN team to safeguard an efficient collaboration and communication between behavioural biologists and computer scientists. The project is part of the KI-Tierwohl project (https://ki
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, and a strong sense of community. To learn more about Keene State College, the University System of New Hampshire, and the Keene community, please visit: https://www.keene.edu , https://www.usnh.edu
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on artificial intelligence techniques, namely machine learning and deep learning; (3) analysing mathematical models applicable to renewable energy generation technologies and electrical energy storage systems; (4
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multi-omic sequencing, network biology, and machine learning to identify actionable biomarkers and therapeutic vulnerabilities. The successful candidate will work at the interface of computational
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of demonstrated relevant professional experience. Exceptions may be considered with approval of the dean. Candidates should have the ability to teach foundational courses in electrical and computer engineering