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. The candidate must have a track record of reliability and good verbal and written communication skills. This is an ideal position for a recent graduate with an PhD, MD/PhD degree in related fields, but not
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experiment. Lead a lecture section of a large introductory physics course including development of lectures and oversight of teaching assistants. Develop software for the readout of prototype and production
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on the development of Bayesian statistical/machine learning methods for the data integration analysis of high-throughput imaging and molecular data (i.e., genome, transcriptome, epigenome, and more). The methods would
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documented on application materials. Required Qualifications: • PhD, MD, or equivalent. • Experience collaborating with clinical and research faculty in an academic setting. • Excellent spoken and written
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-photon imaging in the ferret. The end goal of our work is to test a model of excitatory-inhibitory interactions against data collected in an animal model with columnar architecture in primary visual cortex
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Regular/Temporary Regular Job Code 9546 Employee Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job Qualifications Required: PhD in physics, chemistry, biophysics, biochemistry
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letter (2-page maximum) that outlines how you meet the selection criteria below: Essential Criteria PhD in Neuroscience, Medical Science, Cell Biology or a closely related discipline; ideally with a focus
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related field, strong computing/programming and communication skills, and previous research experience in (I) at least one of 1) statistical genetics/genomics/omics, 2) neuroimaging or medical imaging, and