70 Computer-Science Fellowship positions at Indiana University in Ireland-University-Ranking-2024
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Indianapolis Position Summary The Hato and Dagher Laboratories at Indiana University School of Medicine are seeking a motivated postdoctoral fellow to join our interdisciplinary research program at
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. The chemical biology area of the Department of Chemistry is located in Simon Hall, home to our graduate training program in Quantitative and Chemical Biology and nearby other biochemists and structural
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-career researchers to advance an independent research program, build a strong publication record, and contribute to cutting-edge developments in quantum science and technology within a highly
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Posting Details Position Details Title Postdoctoral Fellow - RPBS Lab Appointment Status Non-Tenure Track Department IU Bloomington Intelligent Systems Engineering Location Bloomington Position
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support from the PI, lab mates, and an interdisciplinary network of collaborators in genetics, neuroscience, psychiatry, computational biology and bioinformatics, statistics, and clinical research. Training
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for candidates interested in pursuing independent academic careers, research scientist positions, or leadership roles in human genetics, statistical genetics, computational biology, data science, or industry
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on systemic diseases. Applicants must hold a doctoral or terminal degree and have a strong background in dentistry, oral biology, or a closely related field. DDS/DMD training or equivalent dental training is
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trial access. This fellowship is designed to support the development of an early-career nurse scientist pursuing an independent program of research focused on health equity, health disparities, ethics
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interests in social network analysis, data informatics, and developing, and implementing applied research projects aimed at improving reach and effectiveness of behavioral health services for young people
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of funding. The start date is flexible and may be arranged by mutual agreement. The position is intended for a researcher interested in developing new theoretical and computational approaches to the strong