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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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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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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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. 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
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communication skills, e.g., demonstrated by a track-record of publications Familiarity with topological physics or inverse design / topology optimization We offer DTU is a leading technical university globally
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solutions into predictive maintenance workflows. Explore the use of LLMs for anomaly detection, failure prediction, and optimization of maintenance schedules. Publish high-impact research in top-tier
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mining waste deposits (MATs). This project integrates mineralogical and mechanical characterization, pilot-scale testing, and advanced process simulation, with the objective of optimizing grinding
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sensitivity are valued proficiencies at CMU. Therefore, we are in search of a team member who can optimally get along with a varied population of diverse audiences. We are looking for someone who shares our