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proposal development and preparation of high-quality publications in top computer security, privacy, embedded systems, sensing, and networking venues. ● Pursue research topics such as protecting
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campus. Who we are looking for Requirements Applicants must have: A PhD in Immunology, Cell Biology, Biochemistry, Biology, Medicine, Biomedical Sciences, or another relevant life science field Significant
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publications. Qualifications Required Education and Experience: PhD degree in any of the following: plant biology, plant physiology, analytical chemistry, genetics, biotechnology, food science, or other closely
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. Apply deep learning approaches to support optimization of segmentation methods for clinical neuroimaging datasets. Investigate developmental differences in infant brain functional networks. Support
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at Rockefeller University, and other academic and non-academic collaborators including Google AI Genomics, thus expanding opportunities for networking and mentorship. Together, the consortium is building
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changes. The successful candidate will join a collaborative research environment within the Department of Neurology and will have access to interdisciplinary research networks across OSU's Wexner Medical
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researchers, PhD students, and undergraduate research assistants. The Post-Doctoral associates will engage with our regular collaborators at local institutions in the UAE and abroad. Key responsibilities
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for genomics (e.g., generative models, transformers, agentic workflows) and/or statistical learning (e.g., network & spatiotemporal modeling, functional/longitudinal data, time-series). Analyze single-cell
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Studies (WOS) group at MIT Sloan. Ideal candidates will have recently completed a PhD—or be near completion—with a research agenda relevant to management. Degrees may be in psychology, sociology
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | 19 days ago
comprehensive analysis simulations using CAMRAD II at Mars aerodynamic conditions Post-processing and analysis of DNS, CFD, or comprehensive analysis datasets Geometry creation and mesh generation for simulations