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Center for Biologics Evaluation and Research (CBER) | Silver Spring, Maryland | United States | 20 days ago
scientific data, including large-scale omics datasets, within high-performance computing (HPC) environments. Learning Objectives: Under the guidance of a mentor, you will gain skills in and learn to: Develop
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contribute to the overall development of the team and project. Additional responsibilities include supporting team operations and taking on related tasks as needed. Job Requirements: Preferably PhD in computer
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on matters related to the project, purchasing equipment and software, and answering queries about the project. Job Requirements: At least a PhD in information studies, information science, or related social
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Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a
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The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS) invites applications for 22 postdoctoral fellowships starting in autumn 2026. This call marks the launch of a new
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of a portfolio of data science-based projects which are aimed at assessing the near- and long-term health outcomes for a cohort of Service members who have sustained traumatic extremity injuries. You
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Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a
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Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a
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offers undergraduate, taught postgraduate, and research postgraduate programmes in the Faculties of Arts, Business, Social Sciences, and the Schools of Data Science, Graduate Studies and Interdisciplinary
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contribute to the excellence of our academic community. The School of Nursing seeks a Research Fellow/Trainee to work on "Women's Health and Intersectionality Using Data Science and Health