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tracked and the growth factor and exosome data will be compared using machine learning algorithms to identify growth factors and exosome numbers that correlate positively or negatively with clinical
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cause of death in the world. Using innovative techniques in mycobacterial genetics and cellular immunology, we aim to better characterize mammalian adaptive immune responses in this devastating infection
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9791ED Employee Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job Position Overview The University of Minnesota’s (UMN) Affect, Cognition, and Computation (ACC) Lab seeks a
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and work experience to equal 4 years. Proficiency in common computer applications, including word processing and spreadsheets; Ideal candidates will have research experience working with psychiatric
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to improve your biocomputing skills through tutorial Qualifications Required Ph.D. in Computational biology, Bioinformatics, Plant breeding/genetics, or related field. Individual may be immediate post-degree
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tools. * Familiarity with tensorflow and/or pytorch. * Demonstrated ability to design and implement machine learning techniques and algorithms. * Demonstrated expertise in the Linux computing environment
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various lab materials to ensure efficient functioning of the lab. Qualifications Essential Qualifications: PhD in biology, genetics, cell/molecular biology, biochemistry, or related fields is required. Pay
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manuscript preparation Collect and analyze data from research projects Prepare manuscripts for publications and grant applications Qualifications Required Qualifications: Ph.D. in Genetics, Molecular Biology
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of experiments to study muscular dystrophy and genetic cardiomyopathies · Analysis of data for presentations and publications · Participation in laboratory meetings · Review relevant
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• Bachelor's degree in a relevant discipline (cell biology, neuroscience, biochemistry, genetics, etc) or a combination of education and relevant work experience to equal at least four years. • Previous