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. Melanie Weber. This role offers an opportunity to perform research on Riemannian Optimization. The ideal candidate has a strong background in this area, as well as a genuine interest in continuing such work
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Center for Biologics Evaluation and Research (CBER) | Silver Spring, Maryland | United States | about 10 hours ago
, tissues, and cellular and gene therapies. Research Project: This project focuses on the development, optimization, and validation of functional antibody assays to evaluate immune responses to Bordetella
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Expansion: Implementing the next phase of the project to transition from rigid-body models to sophisticated systems for protein ensemble modeling. Computational Optimization: Resolving hardware-specific
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Center for Biologics Evaluation and Research (CBER) | Silver Spring, Maryland | United States | 11 days ago
learning algorithms, as well as the adaptation and optimization of existing tools. This research aligns with CBER’s efforts to enhance the development, operations, and management of FDA’s High-performance
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interdisciplinary scholarship and be excited about substantial conversation and collaboration with other disciplines. This postdoctoral fellowship program aims to create a cohort of researchers optimally positioned
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, are profoundly important for U.S. agriculture, contributing to its productivity and resilience. The Postdoctoral Program of the USDA ARS offers research opportunities for motivated postdoctoral fellows interested
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vitro/in vivo ADME/PK evaluation Experience with computational drug discovery Key Responsibilities & Accountabilities Design, synthesize, and optimize molecules targeting GPCRs (cannabinoid receptors
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American farmers' need for innovative agricultural technologies and management systems to optimize resource use, mitigate abiotic stress impacts, and improve farm profitability. This research aims to bridge
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analysis, PDE-constrained optimization and optimal control, numerical analysis and scientific computing risk-averse and fractional models, digital twins and data-assimilating models, machine learning and
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interpret research datasets, drawing meaningful conclusions using appropriate statistical methods and scientific reasoning. Develop and optimize computational pipelines, scripts, and workflows using Python