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platforms. Experience in development of digital twins or physics-informed machine learning models. Experience in programming (e.g., Python or equivalent) and development of control or data acquisition
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reporting, develop role-based access models for reporting, and ensure compliance with regulatory guidelines Reporting Management and Implementation: Lead the creation and maintenance of a prioritized future
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-based models that optimise and control pharmaceutical manufacturing processes effectively. Your main responsibility is to develop and enhance discrete element models (DEM), integrating physics-based
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vary based on the position and may include: Medical, prescription drug, and dental coverage Paid vacation, holidays, and various leave programs Competitive retirement benefits, including defined
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-reciprocity of spin waves Angular Momentum of Magnons Magnetically doped Transition Metal Dichalcogenide Thin Films via Molecular Beam Epitaxy Modeling of a magnonic diode based on spin-wave non-reciprocity in
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Posting Summary Logo Posting Number RTF00052PO26 USC Market Title Post Doctoral Fellow Link to USC Market Title https://uscjobs.sc.edu/titles/156387 Business Title (Internal Title) Post Doctoral
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vary based on the position and may include: Medical, prescription drug, and dental coverage Paid vacation, holidays, and various leave programs Competitive retirement benefits, including defined
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regionalization and lamination of the human cortex and their deregulation in disease using different in vitro models derived from human pluripotent stem cells. The successful candidate will be in charge of
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models and transformer-based architectures to construct high-dimensional design spaces. These models are integrated with Deep Reinforcement Learning (DRL) for fine-tuning or end-to-end learning, enabling
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design strategies, while producing structured spatio-temporal datasets that will serve as input for realising predictive models. Objective 3 — Realize predictive tools for scenario-based assessment