1,833 data-"https:"-"https:"-"https:"-"https:"-"Central-European-University-(CEU)" Fellowship positions
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Center for Drug Evaluation and Research (CDER) | Jefferson, Arkansas | United States | about 21 hours ago
, pharmacoepidemiology methods development). You will have learning opportunities that include: Understanding of pharmacovigilance data analysis workflows; Full-stack web-based application development; Integration
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assessments • Data analysis, interpretation, and presentation • Preparation and review of safety narratives • Presentation to internal and external stakeholders • Professional communication including verbal and
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is research excellence and fit with the lab’s focus. More information on the lab’s research is available here . We especially encourage candidates with proven experience in applying computational and
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of Dr. Richard Lester, MD, FRCPC, the Postdoctoral Fellow will lead a research program titled: Advancing Patient-Centered AI: Validating NLP Models Using Clinical and Communication Data in British
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. • Performing molecular biology assays, including siRNA-mediated depletion, qRT-PCR, western blotting, and protein stability assays. • Assisting with data organisation, maintaining meticulous lab records, and
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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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Principal Investigator (PI) to ensure all project deliverables are met. Job Requirements A Ph.D./Master’s degree in Computer Engineering, Communications Engineering, Computer Science, or a highly related
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to a deeply decarbonized and reliable energy system. The Postdoctoral Fellow will work closely with the project directors and collaborators to develop data-driven and economically grounded frameworks
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | about 21 hours ago
or limited multivariate analysis. However, the increasing dimensionality and complexity of analytical data demand AI/ML-based frameworks capable of learning nonlinear, high-dimensional relationships between