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imaging and machine learning. The main task of the successful candidate will be to help redefine certain traditional criteria of comparative anatomy used in archaeozoology and to establish new criteria
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11.12.2025 Application deadline: 15.02.2026 The Faculty of Science at Tübingen University invites applications for a W3-Professorship in Machine Learning in Physics at the Department of Physics (m/f
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description This research focuses on developing and validating Big Data-driven machine
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experience in areas that align with the faculty (https://neuroscience.barnard.edu/people ), specifically in the areas of vision, learning, and development at the molecular, cellular, systems, cognitive
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materials according to the Lambert–Beer law, thus enabling an accurate description of PEC device behavior. In parallel, the coupling between kMC and CFD simulations will be achieved through machine learning
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, early detection of degradation, and residual life prediction. The program integrates physical modeling, machine learning, and data fusion techniques to optimize predictive maintenance, reduce operating
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include: (1) implementing light–matter interaction in CFD via the radiation transport equation and suitable attenuation models; (2) integrating kMC-based surface kinetics through machine-learning surrogate
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Internal Number: 6808723 Sr. Machine Learning Engineer About the Opportunity JOB SUMMARY The Sr Machine Learning (ML) Engineer applies expertise in deploying and scaling AI pipelines across at least one
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including computer-based research, data collection, and project coordination to advance the lab's projects in surgical innovations, outcomes, and medical technologies. Learn more about the LIN lab at https
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with all samples. Finalize the development of analysis protocols and integrate all data onto a shared platform. Perform advanced comparative analyses and apply multi-omics/machine learning techniques