37 parallel-computing "Computer Vision Center" ";" Fellowship positions at Indiana University
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Posting Details Position Details Title Center for Possible Minds Postdoctoral Fellow Appointment Status Non-Tenure Track Department IU Bloomington Arts & Sciences; Dean Location Bloomington Position
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Posting Details Position Details Title Center for Possible Minds Postdoctoral Fellow Appointment Status Non-Tenure Track Department IU Bloomington Arts & Sciences; Dean Location Bloomington Position
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Posting Details Position Details Title Center for Possible Minds Postdoctoral Fellow Appointment Status Non-Tenure Track Department IU Bloomington Arts & Sciences; Dean Location Bloomington Position
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Posting Details Position Details Title Center for Possible Minds Postdoctoral Fellow Appointment Status Non-Tenure Track Department IU Bloomington Arts & Sciences; Dean Location Bloomington Position
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. Key Responsibilities • Manage Research Lab Social Media & Hate operations, including coordinating with students and managing computing infrastructure • Lead and expand Instagram analysis project
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develop both high-throughput and gene-specific approaches for determining the functional consequences of human genetic variation. Current and developing projects include massively parallel splicing
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preparation and grant development. Experience with statistical genetics, bioinformatics, genomics, or computational biology. Experience using high-performance computing and/or cloud computing
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disease biology. Basic Qualifications Required Qualifications Applicants must have: A Ph.D. in Statistics, Biostatistics, Genetics, Bioinformatics, Computer Science, Mathematics, Data Science, or a
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. The Herman B Wells Center for Pediatric Research conducts basic science and translational research within the Department of Pediatrics at Indiana University School of Medicine. The Wells Center
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discussions. Education and experience required: Ph.D. in population genetics, computational biology, bioinformatics, computer science, or a related field. Demonstrated experience leading computational