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: 279554331 Position: Postdoctoral Research Associate Description: The Rosen Research Group at Princeton University (https://rosen.cbe.princeton.edu ) is searching for a postdoctoral or more senior researcher
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expérimentale, pour lesquelles des dispositifs devront être conçus. Le doctorat se déroulera à l'Université de Pau et des Pays de l'Adour (UPPA), au Laboratoire des Fluides Complexes et Réservoirs (LFCR, https
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algorithms for battery pack topology optimization considering energy/power density, thermal safety, and functional constraints. Create parameterized electro-thermo-mechanical simulation models for optimal
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H2 production capacity through electrolysis, NH3 has been proposed as an H2 carrier due to its high energy density of 5.2 kWh kg-1 and its high gravimetric hydrogen content of 17.6% by weight, not
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on projects or scientific publications, in: - Kinetic Monte-Carlo simulations - Density Functional Theory - Topological Phases in 2D materials Additional experience in photocatalysis is a plus. (Compulsory
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Cooperative Extension Area Citrus and Pistachio Advisor - Serving Kern and Kings Counties (AP 25-34)
University of California Agriculture and Natural Resources | Bakersfield, California | United States | 21 days agomanagement using AI-powered diagnostics, drone surveillance, and sensor networks to detect, predict, and mitigate threats with minimal chemical input High-density orchard systems optimized for mechanical
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University of California Agriculture and Natural Resources | Tulare, California | United States | 21 days ago
and rootstock development High-density training systems and mechanical harvesting Improved management of water resources in the face of increased drought and implementation of the Sustainable
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schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . We are looking for a Research Associate to support advanced research on solid oxide cells (SOCs), oxygen-vacancy
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. Model parasitics (leakage inductance, interwinding capacitance) for accurate simulation and EMI prediction. Analyze core and copper losses and apply thermal management strategies for high power density
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PV power generation via IoT-enabled monitoring systems Operate the electrolyser using both solar PV and grid electricity, recording current density, voltage, and periodic hydrogen gas generation data