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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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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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strengthen the translational research program in hematologic malignancies within the University of Michigan Department of Medicine/Division of Hematology and Oncology, and the Rogel Cancer Center
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expected. A dedicated desk and laptop computer will be provided. The option to work remotely is available for certain lab management and data analysis tasks, at the discretion of the principal investigators
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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
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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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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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, Source Project; 10 mo. 3-year term (renewable) We seek applicants with a Ph.D. in a Humanities or Social Science discipline (or from an interdisciplinary doctoral program) who have a commitment to