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to program and use command line tools, machine learning approaches and data visualization tools. Expertise in software engineering as well as a firm foundation in biological research are strongly preferred
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Indianapolis Position Summary The Richer Lab in the Department of Microbiology & Immunology at the Indiana University School of Medicine is seeking a highly motivated postdoc to join our research team
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collaborators. For additional information about the Liao research group, please visit: https://sites.google.com/view/chentingliao/ Department Contact for Questions: Questions regarding the position or application
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of Informatics, Computing, and Engineering, visit: https://luddy.indiana.edu/ Basic Qualifications Candidates must hold a Ph.D. in Computer Science, Informatics, Engineering, or a related field from an accredited
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expect to hire 2-4 postdocs through this search. Postdocs will have offices in the Center for Possible Minds, where they will be joined by visiting fellows and faculty. Fellows are expected to pursue
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candidate will join an already established team that includes senior and junior scientists as well as postdocs and Ph.D. students who will also be involved in this project. Primary Duties and Responsibilities
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the Department of Chemistry at Indiana University is accepting applications for a Postdoctoral Fellow position. The position offers an opportunity to develop and apply cutting- edge protein engineering techniques
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: Define the critical engineering requirements (optical pulse duration, terahertz crystal materials in cryogenetic environments, signal-to-noise ratio optimization, entanglement witnesses and verification
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be found at https://kokomo.iu.edu/business/index.html . Responsibilities include teaching three courses per semester; establishing and maintaining an active, productive research program; and being
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of the project can be found here: https://www.nsf.gov/awardsearch/show-award/?AWD_ID=2338135 The Postdoctoral Researcher will be mentored by Dr. Andrea Stevens Goddard and will work with a collaborative research