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Organization U.S. Department of Agriculture (USDA) Reference Code USDA-ARS-MWA-2026-0326 How to Apply To submit your application, scroll to the bottom of this opportunity and click APPLY. A complete
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methods for disease prediction, precision medicine, and clinical decision support. Applicants must have a Ph.D. in biomedical informatics, computer science, data science, biomedical engineering, statistics
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operation code at the Funds Platform (Balcão dos Fundos) NORTE2030-FEDER-01189600, co-financed by the European Union through the NORTE 2030 Regional Programme, of Portugal 2030, under the following conditions
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applications for a Research Initiation Grant within the framework of the project “PVBoost – Indoor photovoltaics for powering IoT electronics”, with nr. 18334 and operation code at the Funds Platform (Balcão dos
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that combines data from different molecular levels (transcripts, proteins, metabolites), aided by in silico target prediction, will enable us to uncover putative target of the compound, which will then be
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. Examines national AI policy portfolios to understand how combinations of regulatory instruments support learning and provide predictable regulatory environments. Drawing on the Digital Policy Alert dataset
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reinforcement learning, learning-based adaptation and control, physics-informed machine learning, learning-enhanced model predictive control, control-theoretic safety and stability guarantees for learning-enabled
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to team of researchers engaged in flood prediction and impacts assessment work. Functions include database management, code development, model performance assessments, and analytical support for a
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Outer Membrane Vesicles (OMVs) from attenuated, genetically modified Salmonella strains; - Key activities involve applying reverse vaccinology pipelines (in silico epitope prediction and 3D molecular
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machine learning-driven digital twins for predictive combustion modeling. The research program will cover a wide range of e-fuels (H₂, NH₃, CH₃OH, DME, OME) and their applications in industrial furnaces