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Center for Biologics Evaluation and Research (CBER) | Silver Spring, Maryland | United States | 5 days ago
products including blood, vaccines, allergenics, tissues, and cellular and gene therapies. Research Project: The fellow will contribute to the development of novel scientific, bioinformatics, and AI/machine
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career development. Successful candidates will participate in a program that includes research and career mentoring, manuscript and grant writing, and scientific presentations at national/international
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excellence in education, patient care, community service, research and technology development, and through leadership activities in Michigan, nationally and internationally. Our mission is guided by our
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the Department of Hematological Malignancies Translational Science, Department of Pediatrics, and Gehr Family Center for Leukemia Research. You will directly work on the following projects: 1) Development
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for Disabilities & Development Department:Psychology Salary Salary:$64,000.00 to Commensurate Position Details Full/Part Time Status:Full Time Percent Time:100% Position Description: The Center for Disabilities and
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disease prevention and management in rural communities. This position provides robust opportunities for scholarly development, manuscript and grant writing, mentorship, and career preparation for a future
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for advancement, and a strong sense of purpose. Beyond professional development, YU is committed to ensuring a high quality of life for its employees, offering a work environment that prioritizes well-being, work
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: Computational methods development and consortium data management for the Human Virome Program, with the mandate to characterize viral (phage and eukaryotic) communities across the human body in health and disease
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, maintaining rigorous experimental documentation, and supporting iterative device development. A significant portion of the work will require hands-on experimentation, including rodent handling, surgical
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interatomic potential to incorporate materials response . Resulting models are implemented in LAMMPS and are used to perform ML-accelerated large-scale dynamics simulations to investigate the evolution