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Requisition Id 17142 Overview: We are seeking a Postdoctoral Research Associate who will focus on urban-scale energy modeling. This position resides in the Grid Interactive Control Group in
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efficient and cost-effective maintenance. To advance the development of tabular foundation models for energy systems, we are seeking a highly motivated and skilled postdoctoral researcher. The project aims
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performance while enabling more efficient and cost-effective maintenance. To advance the development of tabular foundation models for energy systems, we are seeking a highly motivated and skilled postdoctoral
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architectures to enable large-scale, high-fidelity reacting-flow simulations. The models developed at the cell level will subsequently be coupled to module-, pack-, and system-level simulations to improve
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groups in AI, 3D modelling and T-cell immunology, leading TCR discovery and TCR-biologics companies, a cancer vaccine research group running clinical trials, and the national super-computing center
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description CENSEMAT investigates crystalline energy materials in which non-random local deviations from the average structure play a decisive role. The postdoc will develop atomistic models that connect local
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of Cambridge ALBORADA Drug Discovery Institute. This exciting opportunity will enable the post-doctoral scientist to apply advanced human iPSC-derived cellular models to investigate how innate immune signalling
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postdoctoral position focused on innovative research in coupled transport-energy modeling and optimization. We are looking for a postdoc to join our team. Become part of our innovative group and contribute
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cell immunology, mucosal immunology, and cancer immunology using animal models and single-cell multiomics/spatial transcriptomics approaches. This postdoctoral researcher will combine wet-lab molecular
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applied research on AI-driven and AI-enhanced industrial energy systems optimization modeling, material flow analysis, and supply chain analysis of industrial commodities and critical materials