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$54,000 - commensurate with experience Type of Position Temporary Position Time Status Full-Time Required Education PhD or terminal degree in a related field Required Related Experience Experience
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and patient-reported outcomes; (b) observational research and comparative effectiveness studies; (c) intervention studies; (d) clinical informatics, mobile/electronic health; (e) machine learning
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learning and working environments for all students, staff, and faculty. We invite individuals who will join us in our mission to improve health equity and well-being for all throughout the state of Indiana
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university’s creative, dedicated and close-knit community. We place emphasis on practical problem solving, interdisciplinary learning, a transformative spirit, and collaboration From creative writing
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on physics analysis and artificial intelligence/machine learning (AI/ML). The successful candidate will contribute to the group’s broad physics program, which includes precision Higgs and Standard
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strategies. Duties and Responsibilities Design, implement, and evaluate deep learning models for spatiotemporal data, with an emphasis on medium-scale foundation models. Leverage model embeddings in causal
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functional supervision over graduate and undergraduate students. The appointment generally does not extend beyond two years. To learn more about the work in the group, checkout out the group website. https
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accordance with the Boston University Postdoctoral Compensation Guidelines and the Postdoctoral Scholars Policy. To be considered, applicants must hold a PhD in epidemiology, biostatistics, computational
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websites https://www.augusthuanglab.org/ and https://www.khoshkhoolab.com/ . Candidate qualifications include: PhD and/or MD in computational biology, bioinformatics, genomics, or other related fields
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, Medical Writing, and Business Development. There will be an online information session July 9th from 11am – 12 pm. Click here to register Program Description 1-year experiential learning to gain real-world