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Postdoctoral Research Associate ( Job Number: 26001188) Department of Engineering Grade 7: - £38,784 - £41,064 per annum Fixed Term - Full Time Contract Duration: until 31st December 2027 Contracted
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methods in rice processing, focusing on modeling, simulations, and optimizing post-harvest operations, including drying, storage, and milling. Research will emphasize energy efficiency, sustainability
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simulations, density functional theory (DFT), molecular simulations, or machine-learning potentials. Experience with generative AI, active learning, uncertainty quantification, Bayesian optimization
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 2 months ago
scene diversity and flexibility, making them attractive for applications in entertainment, simulation, and human–computer interaction. However, a persistent limitation lies in their inability to enforce
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amplifier and digitizer architectures, performing state-of-the-art front-end simulations, and producing optimized readout PCBs for testing in the 2 μm optics setup at UGent. The integrated readout system must
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Requisition Id 16505 Overview: The Computer Science and Mathematics Division at Oak Ridge National Laboratory (ORNL) is seeking an exceptional Postdoctoral Researcher to advance programming systems
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Requisition Id 16715 Overview: We are seeking a Postdoctoral Research Associate who will use multiscale modeling and simulation to develop probabilistic lifing frameworks for high-temperature alloys
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, calibration, and application. Experience with computational methods including steady-state modeling, dynamic simulation, computational fluid dynamics (CFD) to support system design and performance optimization
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(RSMAES) invites applications for a part-time Postdoctoral Researcher position. This position is funded by an awarded Florida Sea Grant project focused on the bioconversion of Sargassum biomass
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Requisition Id 16779 Overview: We are accepting applications for Postdoctoral Research Associate positions in Data Science for Advanced Manufacturing that will focus on the development of next