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, addressing variability in industrial materials, and aligning with relevant standards and specifications. Managing uncertainties associated with emerging low-carbon materials, including variability in by
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-making under uncertainty relevant to security and defense settings. Research activities will focus on methodological innovation, theoretical development, and applied mathematical/statistical modeling. Why
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; cost, carbon or sustainability optimisation; uncertainty and sensitivity analysis; and machine learning or AI-supported optimisation. Strong analytical and programming skills are essential. Relevant
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protection systems. Real-time simulation of centralized protection control (CPC) systems. BINDING LEGISLATION Law 40/2004 of 18th of August (Scientific Research Fellow Status) in its current wording. https
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biology, bioinformatics, bioimaging, and genomics, with an emphasis on the bioinformatics analysis of small RNA transcriptomes, and RNA molecular quantification. Working under the direction of the Principal
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optimisation; uncertainty and sensitivity analysis; and machine learning or AI-supported optimisation. Strong analytical and programming skills are essential. Relevant experience may include tools and languages
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? Not funded by a EU programme Reference Number AE2026-0206 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt
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Computational Postdoctoral Fellow (Quantitative Modeling Group) - 106785 Division: BE-Biological Systems & Engineering Berkeley Lab’s (LBNL, https://www.lbl.gov/) Biological Systems and Engineering
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Center for Devices and Radiological Health (CDRH) | Silver Spring, Maryland | United States | about 21 hours ago
development and validation for extraction, sample analysis using GC-MS and LC-MS, development of criteria for compound identification and quantification of substances contained in polymeric and other materials
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for optimization, history matching, decision making, uncertainty quantification, etc Conduct geothermal assessments, as this is a hot field (> 150 C) The candidate can also suggest other objectives / research