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, and hardware to implement solutions to the problem of: How do we model and measure individual sensors across a deformable, distributed frame (e.g., a human) that are part of a distributed heterogeneous
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Organization U.S. Department of Agriculture (USDA) Reference Code USDA-ARS-SEA-2026-0267 How to Apply To submit your application, scroll to the bottom of this opportunity and click APPLY. A complete application consists of: An application Transcript(s) – For this opportunity, an unofficial...
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inference) Algorithmic development for bilevel (or multilevel) optimization Methodological developments in Bayesian statistics and/or decision analysis Application of adversarial risk analysis within security
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precipitation observation on the global scale. The Mesoscale Atmospheric Processes Laboratory at Goddard Space Flight Center leads research aimed at algorithm improvements to create state-of-the-art global
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into physically consistent changes in the model’s thickness distribution while respecting the constraints to the sea ice state. The methods will be evaluated in spatial CICE6 configurations and within the coupled
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biological and biogeochemical constituent concentrations and rates from the derived optical properties. Specifically, the aims are to develop advanced algorithms to retrieve from PACE and GLIMR remote sensing
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will include examining fiber properties such as crystallinity, pore size distribution, fiber surface content, and metal ion composition, as well as conducting laboratory-scale dye uptake trials with
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data processing Understanding of generating computer algorithms for disease trends is desired. Informatics experience, including software applications for public health analysis. Background in
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Organization UT-ORII Reference Code UT-ORII-SMARTSUMMER2027 How to Apply Apply Today! Selection and Review: Acceptance letters will be distributed in January 2027. Duration is 10 weeks from May 24
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environments, scripting languages for handling large-scale genomic data, and learning how to apply programming languages to implement complex computational models and algorithms. Learning objectives will include