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attributes are shifting in the presence of probabilistic outputs, non-determinism, and continuous data dependencies, and how these factors impact maintainability, testability, and reusability. The PhD project
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of novel probabilistic deep-learning models that automatically extract mechanistic and statistical knowledge from your in vivo perturbational omics data. This interdisciplinary atmosphere has been a main
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of novel probabilistic deep-learning models that automatically extract mechanistic and statistical knowledge from your in vivo perturbational omics data. This interdisciplinary atmosphere has been a main
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Funding reference https://www.monash.edu/it/nextgen/ai-in-mental-health/projects/headspace-national Learn more about minimum entry requirements . Primary supervisor Levin Kuhlmann Apply now Supervisor
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, “AI” includes (but is not limited to) machine learning (ML), deep learning, reinforcement learning, optimization for/with ML, probabilistic modeling, trustworthy/responsible AI (fairness, safety
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student will be fluent in AI as it applies to their field (https://oaa.osu.edu/ai-fluency ). Faculty members affiliated with CSI are also expected to participate in a variety of scholarly activities
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). Lehman, M. et al. Neural circuits underlying context-dependent competition between defensive actions in Drosophila larva. 2023.12.24.573276 Preprint at https://doi.org/10.1101/2023.12.24.573276 (2023
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Classification Title: Post Doctoral Associate Job Description: The Department of Epidemiology (http://epidemiology.phhp.ufl.edu/) is strategically situated within the College of Public Health and
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Posting Link https://www.ubjobs.buffalo.edu/postings/55485 Employer Research Foundation Position Type RF Professional Job Type Full-Time Appointment Term Salary Grade E.89 Posting Detail Information
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probabilistic models, hybrid numerical approaches, computational algorithms, and integrated software platforms for modeling and managing the interactions among urban infrastructure and environment networks