97 distributed-computing-associate-professor Postdoctoral positions at Stanford University
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generation technologies Preparing quarterly and final reports for research grants Writing research proposals, peer-reviewed publications, and other program activities. Advising and mentoring students
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, mouse models, standard molecular biology and biochemistry, FACS/flow-cytometry analysis, genetic manipulation of cells (e.g., CRISPR), and microscopy. Candidates with experience in computational analysis
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stem cell neuroscience Dr. Ryann Fame’s lab (famelab.stanford.edu) in the Department of Neurosurgery is recruiting a full-time postdoctoral fellow to an NIH-funded project. Dr. Fame’s research program
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experience using mouse models of disease. Priority will be given to applicants with prior training in pulmonary biology, or candidates with expertise in computational biology or single cell transcriptomics
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, Applied Mathematics, Statistics or related computational field. Superb quantitative background, strong coding skills (e.g., Python, R). Expertise in infectious disease modeling. Strong record of peer
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term Appointment Start Date: TBD How to Submit Application Materials: Interested applicants should submit th required application materials to Kathleen M. Sakamoto, M.D., Ph.D., Professor, Division
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required for leadership positions in undergraduate and graduate medical education. This fellowship program has trained surgical residents in education for over fifteen years and has established a track
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work on a priority research program in which individuals are assessed with functional MRI, behavioral, and symptom measures before, during, and after treatment. Treatment includes selectively targeted
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new areas of research that cross classical disciplinary boundaries. Our department studies the surface and interiors of the Earth, Moon, and planets through laboratory experiments, computational and
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, molecular biology, and in vivo models. Analyze and interpret data, integrating experimental and computational findings. Utilize bioinformatics tools and techniques to analyze high-throughput sequencing data