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Center for Devices and Radiological Health (CDRH) | Silver Spring, Maryland | United States | 1 day ago
. citizens, Lawful Permanent Residents (LPR), and foreign nationals. Non-U.S. citizen applicants should refer to the Guidelines for Non-U.S. Citizens Details page of the program website for information about
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Center for Devices and Radiological Health (CDRH) | Silver Spring, Maryland | United States | 1 day ago
available to U.S. citizens, Lawful Permanent Residents (LPR), and foreign nationals. Non-U.S. citizen applicants should refer to the Guidelines for Non-U.S. Citizens Details page of the program website
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | 1 day ago
page of the program website for information about the valid immigration statuses that are acceptable for program participation. This program, administered by ORAU through its contract with the U.S
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Women in Science fellowship program annually awards five women postdoctoral scientists with grants for their contributions in Science, Technology, Engineering and Math (STEM) fields and commitment
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degree recipients interested in working to address the multiple challenges of inequality. This program intends to seed new research directions; facilitate collaboration and mentorship across disciplines
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programme, Deep Molecular Phenotyping of Metastatic Breast Cancer. This ambitious, interdisciplinary project aims to generate an integrated, multi-omic understanding of secondary (metastatic) breast cancer
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and PhD students on computational mathematics and AI methodologies. Job Requirements: A PhD degree in Applied Mathematics, Computer Science, Engineering, or a related quantitative field. Deep expertise
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research, education, and services in data science, AI, and biomedical computation, building on existing institutional initiatives such as DAISI. We are hiring two Research Fellows for a 2-year contract. This
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part in the faculty’s approved PhD program, and is expected to complete the project within the set fellowship period. The main purpose of the fellowship is research training leading to the successful
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machine learning methods for computational materials physics and chemistry. Projects include: The aim is to develop generalized equivariant neural network models NequIP and Allegro for machine learned