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developing and applying process-based simulation models, especially dynamic food web models and bioenergetic models. Experience in multi-disciplinary teams, including other natural sciences, social scientists
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Center for Devices and Radiological Health (CDRH) | Silver Spring, Maryland | United States | about 10 hours ago
): The objective of the project is to develop a web-based application that will facilitate biocompatibility evaluation of medical devices by streamlining extractable studies. We will use mass spectrometry
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assessment; Web-based tool development for the support of dataset collection; Performance evaluation and validation for the developed AI method and agent. Mentor: The mentors for this opportunity are Joshua Xu
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: Understanding of pharmacovigilance data analysis workflows; Full-stack web-based application development; Integration of GenAI technologies into InfoViP platform. Mentor: The mentors for this opportunity
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assessment; Web-based tool development for the support of dataset collection; Performance evaluation and validation for the developed AI method and agent. Mentor: The mentors for this opportunity are Joshua Xu
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: Understanding of pharmacovigilance data analysis workflows; Full-stack web-based application development; Integration of GenAI technologies into InfoViP platform. Mentor: The mentors for this opportunity
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U.S. Department of Energy (DOE) | Washington, District of Columbia | United States | about 8 hours ago
Organization U.S. Department of Energy (DOE) Reference Code DOE-STP-OP-2025-0001 How to Apply Click on Apply below to start your application. Description The U.S. Department of Energy (DOE) Science
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a unique opportunity to develop cutting-edge high-performance computing (HPC) that incorporate machine learning/artificial intelligence (ML/AI) techniques into visualizations, enhancing the efficiency
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Sciences Directorate, at Oak Ridge National Laboratory (ORNL). This position presents a unique opportunity to develop cutting-edge high-performance computing (HPC) and machine learning/artificial
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computing resources. The MMD group is responsible for the design and development of numerical algorithms and analysis necessary for simulating and understanding complex, multi-scale systems. The group is part