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informatics, collaborating in an interdisciplinary team. Postdoctoral Researcher in the Development of Thin Films and Deposition Processes using Artificial Intelligence and Autonomous Experiments. Your tasks
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Help build the model library at the heart of UTOPYS, a new national facility for real-time power system simulations. Job description Future power systems are converter-dominated, fast, and
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equation models for Epstein–Barr Virus (EBV) and HIV-1 infection dynamics in human lymphoid tissue. New mathematical models will be informed by longitudinal experimental data, including multiplexed spatial
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communities everywhere. By working in and across multiple scientific areas, CALS can address challenges and opportunities of the greatest relevance, here in New York, across the nation, and around the
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at the intersection of artificial intelligence and the liberal arts to shape the future of AI engagement in higher education. The appointment will be for two years. The ideal candidates will have a demonstrated
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, which aims to advance a new proxy for geological emissions of carbon dioxide to the oceans and atmosphere from rock weathering. The post-holder will be required to undertake isotope measurements
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. The successful candidate will join a collaborative project involving Uppsala University (UU), industrial partners and research institutes, contributing to a highly interdisciplinary effort to establish
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Laboratory of Oceanography of Villefranche | Villefranche sur Mer, Provence Alpes Cote d Azur | France | 22 days ago
the toxicity of these blooms, through chemical interactions within the marine microbial sphere. To explore this hypothesis, the LOV will acquire a new PTR-Tof-MS in spring 2027 to perform the experiments
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accept Word (.doc, .docx), Adobe (unsecured .pdf), Rich Text Format (.rtf), and HTML (.htm, .html) up to 5MB in size. Resumes from third party vendors will not be accepted; these resumes will be deleted
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analysis, kinetic modeling, data analysis, and results dissemination. Qualifications: The ideal candidate will have some prior hands-on experience in preclinical PET/CT or PET/MR imaging, image processing