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, Mohammed VI Polytechnic University (UM6P) is launching a one-year postdoctoral research position. The project focuses on testing and optimizing treatment processes that use calcium carbonate-rich materials
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researchers to develop and optimize novel techniques for the production of prosthetic devices. Responsibilities: Outline the key responsibilities of the position. This might include: Research innovative
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manufacturing of next-generation stack components. In this project, we aim to develop, optimize, and test an innovative monolithic component that aims to substitute conventional porous transport layers (PTLs) and
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or reconstruct the missing links. The first step is to explore different optimization methods using low rank tensor minimization and tensor decompositions paired with auxiliary information in order to recover
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potentially involving techno-economic analysis and AI-driven models for optimizing design and operation. Activities within project management and co-supervision of graduate students are also foreseen
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of these two postdoc positions is to contribute to the modelling, simulation, and optimization across different LDES technologies, from device (ESS+inverter) to system level (grid integration) under different
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sheet fluorescence microscopy Image analysis workflows Immunofluorescence optimization and protocol development About the Position This is a full-time, fixed-term position for two years, in accordance
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. The group will be contributing to the Physics Modeling (MC software, MC validation and Pileup modeling), the MET High-Level Trigger validation, optimization and performance studies, and to the heterogeneous
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material quality. The resulting models will act as a predictive tool for process optimization and design improvements, providing a foundation for scalable industrial applications. Job Description: The
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computationally efficient at simulating permanent magnet structures, and capable of leading to the globally optimal solution of the underlying design optimization problem. We aim to combine gradient-based