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by the CNRS, the postdoctoral researcher will be responsible for contributing to the development of advanced methodologies for predicting crystal structures (CSP) based solely on their chemical
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their acoustic and thermal properties Developing and optimizing numerical models to simulate the performance of thermoacoustic microdevices Designing, fabricating, and experimentally testing prototype
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to apply Website https://www.timeshighereducation.com/unijobs/listing/404335/acer-coe-postdoctor… Requirements Additional Information STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More
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other diagnostics. Optimize operations: characterize uncertainties and build an automated, real‑time selector for the most accurate diagnostic. Publish experiment and simulation results, and present them
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them to optimize any results, working to obtain new tool compounds and drug candidates. Leveraging state-of-the-art computational methods, including structure-based ultra-large virtual screenings
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, patient motion, and more. Today, these parameters are either manually configured, heuristically optimized, or compensated post hoc using multi-level calibration scans or corrections, which introduces
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biological disciplines. Insights in immunology, oncology, neuroscience, and/or drug discovery are considered beneficial. WHO WE ARE LOOKING FOR PhD in biosciences or a related field, with postdoctoral
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to explore systems in which light (near-infrared) and acoustic phonons (20–300 GHz) can be confined simultaneously. Numerical simulation and optimization of acoustic and optical resonators Design and
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optimizing their functional behavior. The goal of this postdoctoral project is to carry out state-of-the-art experimental research on mechanical properties of HEA NPs with the intent of elucidating the link
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-Service (MaaS) ecosystem. The work will integrate deep reinforcement learning, autonomous agent modelling, and multi-objective optimization to enable predictive simulation, real-time resource management