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applications. Working Conditions Needs to be able to successfully perform all required duties. Office/research environment; some travel and weekend work is required. UTRGV is a distributed institution, which
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As part of the Oxford Global Health Initiative (OGH, https://www.globalhealth.ox.ac.uk/), the Department of Biology at the University of Oxford is seeking two highly motivated and capable
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As part of the Oxford Global Health Initiative (OGH, https://www.globalhealth.ox.ac.uk/), the Department of Biology at the University of Oxford is seeking two highly motivated and capable
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is $27.05/hour. At UBC, we believe that attracting and sustaining a diverse workforce is key to the successful pursuit of excellence in research, innovation, and learning for all faculty, staff and
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Be part of the world-renowned WorldPop Group at the University of Southampton, a global top 100 university (QS World Rankings 2024). WorldPop is an award winning, interdisciplinary applied research
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 15 days ago
/theoretical study of the evolution of the growth rate distribution of E. Coli in a chemostat. The starting point is the standard chemostat model, which describes the time evolution of glucose level and the
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populations and biobanks for risk prediction, genetic discovery, and genomic medicine. Federated and transfer learning for distributed and privacy-preserving data integration. AI and Deep learning approaches
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of capabilities such as AI training and inference at scale, and tight AI-simulation coupling. What is Required: PhD in Physics, Chemistry, Computational Science, Data Science, Computer Science, Applied Mathematics
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Fellowship in Quantum Photonics (salary scale 13 TV-L, 100 %) The fixed-term position is limited to 3 years, with the possibility of extension. We offer an ERC Preparative Fellowship to support an outstanding
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transfer learning for distributed and privacy-preserving data integration. AI and Deep learning approaches to high-dimensional and multi-modal biomedical data. Causal Inference, Fairness, and Trustworthy AI