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Neuroscience. This job would be in addition to the normal employment and academic requirements of the student’s graduate program. Employment in this position would not reduce the work required as part of
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. Preferred qualifications: D. in Quantitative Genetics/Genomics, Computational Biology, or Related Discipline. Skilled in single-cell transcriptomic analyses, machine learning and artificial intelligence
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, or university and pursuing a program or course of study Must meet Academic Standing Requirements; students on academic suspension are not eligible for employment Must meet the applicable minimal enrollment
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interneuron-associated brain disorders. Therefore, the Research Assistant will contribute to the lab’s research program by determining functionalities of cortical interneurons in health and disease and develop
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Clinical Cardiovascular Psychophysiology Research Assistant Psychology - Pennsylvania-Pittsburgh - (25003691) This position is funded by a grant (R01HL169990-01) through the National Heart, Lung, and Blood Institute (NHLBI). The goal of the study is to better understand the behavioral and...
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Professors who will conduct academic research in association with a faculty member or team. The appointees will contribute to our translational research program in Developmental Therapeutics and Immuno
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More info on the PhD project The TOBI lab (Translational Onco-genomics and Bio-Informatics) has an open position for a highly motivated biomedical researcher with expertise and interest in
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Job Description Apply now Req Id: 37997 Job Title: Post Doc Research Assistant - BE City: West Lafayette Job Description: Job Summary The Department of Agricultural and Biological Engineering (ABE) and the Laboratory of Renewable Resource Engineering (LORRE) at Purdue University are seeking a...
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Report to the UCSF Department of Psychiatry and Behavioral Sciences Vice Chair for Research Build and direct an actively-funded clinical and translational research program Collaborate effectively and
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to produce resilient and high-performing models. · PhD in Computer Science, Machine Learning, Mathematics, Physics, Statistics, or a related field Strong track record of applying ML in academic or industry