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: Probabilistic generative models (VLMs, diffusion, flow models) Reinforcement learning & Markov decision processes Causal inference & counterfactual reasoning Mechanistic & physics-informed modeling Agentic AI
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Advancement Business Unit University of MO-St. Louis Posted Date 08/26/2026 Close Date 09/22/2026 Job Title Senior Human Resources Consultant, Learning and Organizational Development Job ID 60460 Location
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should have experience in real-time processing or FPGA-based prototyping or embedded sensing architectures, or machine-learning-driven analysis for photon-limited measurements. Exposure to event-driven
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and data pipelines to enable real-time data acquisition and closed-loop control. Collaborate with AI researchers to implement machine learning models for adaptive experimental design and autonomous
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sought to join Dr Gabriela Misca's research team on a study investigating policy and practice relating to Armed Forces families. This is an exciting opportunity to contribute to impactful research, engage
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About Us The School of Science and Technology at Nottingham Trent University (NTU) is an exciting multidisciplinary environment for learning, teaching and research, with some of the best facilities
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conviction record, military or veteran status, sexual orientation, gender expression and/or identity, an individual’s genetic information, domestic violence victim status, familial status, marital status
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-time simulation will be advantageous. • Knowledge and experience in electrical machines and their control. • Knowledge of software such as PSIM, PLECS and MATLAB/Simulink • Prior knowledge and
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | about 9 hours ago
advanced in silico prediction algorithms, analyzing machine learning approaches for toxicity pattern recognition, and participating in developing standardized computational frameworks for regulatory
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analytics and re-examine the role of man-machine symbiosis at all levels of framework.