65 parallel-computing-numerical-methods Postdoctoral positions at Stanford University
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multidisciplinary team studying the genomics of neurodegenerative diseases, with a special focus on Alzheimer’s Disease (AD). Current research focuses on using novel methods to detect genetic associations with
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community that spans discovery to clinical implementation. Specific Responsibilities include: experimental design, data acquisition, data processing, statistical computation, methods development, data
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organize data. Adapt new, nonstandard methods outlined by supervisor in designing and evaluating phases of research projects, (i.e., educational materials, questionnaires, strategies for recruitment, data
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assessment of lymphatic flow, 2) Advancing methods for contrast-enhanced MRL, 3) Creating ideal contrast agents for MRL, and 4) generating phantom and animal models for MRL optimization and validation
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their appointment. Knowledge of theoretical and/or observational cosmology, particularly including perturbative methods, will be an asset. Candidates with a strong background in other theoretical or data analysis
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Health (HPH) (link is external) and Project Unleaded (link is external) for an exciting postdoctoral fellowship that contributes to a high-impact global program with a mission to create a healthier world
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backgrounds trained in chemistry, chemical biology, microbiology, and/or biophysics fields. We have launched a collaborative antibacterial drug design program integrating chemical biology and mechanistic
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genomics and single-cell spatial transcriptomics, participate in T cell-targeted therapy development, hone their computational, leadership, communication, and funding acquisition skills, and join the vibrant
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preparation and dissemination of findings at national and international conferences. Collaborate with investigators across rheumatology, pain medicine, biostatistics, informatics, and behavioral science
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Postdoctoral (E3) Fellowship Program trains the next generation of scholars to conduct research toward equitable, impactful, and sustainable early childhood care and education systems. Why the E3 fellowship