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SUSMAT - Postdoctoral Position in Computer-Aided Design and Discovery of Sustainable Polymer Materials About UM6P: Mohammed VI Polytechnic University (UM6P) is an internationally oriented
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. The project will involve drone optimizations, computer vision, closed-loop control, multi-modal sensor fusion, machine learning, and transfer learning methods. The candidate will also work in collaboration with
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and reinforcement learning for real-time optimization, fault self-recovery, and production scheduling in industrial processes. Publish research results in top-tier international conferences and journals
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 13 days ago
Summary The Division of Pharmacoengineering and Molecular Pharmaceutics (DPMP) is engaged in research and education in drug delivery options to optimize the therapeutic efficacy of pharmacologically and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 13 days ago
of Pharmacoengineering and Molecular Pharmaceutics (DPMP) is engaged in research and education in drug delivery options to optimize the therapeutic efficacy of pharmacologically and immunologically active agents. It is a
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effects; Study process parameters affecting the recovery of sulfur, magnesium, potassium, and other valuable elements; Analyze, interpret, and synthesize experimental results to support process optimization
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neurovascular interventions. • Process and analyze computed tomography and digital subtraction angiography data to characterize vascular anatomy and potential navigation pathways. • Develop and evaluate
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developing, optimizing, or troubleshooting complex experimental or computational workflows. Experience working in a collaborative or multidisciplinary research setting. Experience mentoring or training
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) methods for modeling and optimization of metallic materials and advanced manufacturing processes. Participate in the design of integrated, scalable numerical methods and uncertainty quantification. Follow
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though optimal sizing of chargers and mobile battery storage systems based on the demand and through energy management strategies under traction and AC grid constraints. Contribute to two pilots