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and great opportunity of interdisciplinary training in machine learning and functional genomics. The project combines cutting-edge computational approaches, especially state-of-the-art machine learning
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to the larger research group are essential aspects of the position. The successful candidate may be required to assist with the training of less experienced personnel in the correct operation of equipment and
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part of PRECISE (Purdue Resources Empowering Coordinated Investigations for Sample Exploration), a NASA Planetary Science Enabling Facility. The position will include development of new laboratory
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skills and ability to work in an interdisciplinary environment. Preferred Skills: Experience with neuroscience or Alzheimer’s disease research. Familiarity with genome-scale metabolic modeling or network
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information theory. We seek a broad and diverse applicant pool, and welcomes applications from candidates at the intersections of (sub)fields. Appointment Details The successful candidates will be part of
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on superconducting networks. Appointment Details The successful candidates will initially be part of Professor Claudio Chamon’s or Professor Tyler Ellison’s research group for two years (renewed
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)fields. Appointment Details The successful candidates will be part of Lashkari's research group for 2+1 years (renewed annually) with the third year extension conditioned on availability of funding
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Improvement and Regeneration Center (HTIRC.ORG) in West Lafayette, Indiana. The postdoc will actively work with project personnel from USDA Forest Service, University of Kentucky, Penn State University, Purdue
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disparities in supportive care medication (SCM) use, using national datasets (e.g., SEER-Medicare, SEER-MHOS), predictive analytics, and stakeholder-engaged methods. The lab is committed to actionable research
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spatial transcriptomics, precision medicine and climate data. The initial appointment is for one year, renewable for one additional year subject to satisfactory performance. The postdoctoral fellow will be