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. This is a full-time, in-person position based in South Bend, Indiana. The twelve-month annual salary is commensurate with NIH postdoctoral salary guidelines (https://www.niaid.nih.gov/grants-contracts
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This position will not supervise anyone. To apply: Please apply via Academic Jobs Online ( https://academicjobsonline.org/ajo/jobs/31628 https://academicjobsonline.org/ajo/jobs/31628 ">). Qualified candidates
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here: https://www.montana.edu/qcore/ The successful candidate will be expected to pursue an independent research program in the realm of quantum mathematics and to interact with the other faculty and
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. Experience with structural biology (cryo-EM or crystallography), chromatography, mass spec-based targeted metabolomics, assay development, lipid biochemistry or immunology would be considered assets. The lab
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research management and other data analysis software. Application Materials Apply online at https://hr.missouri.edu/job-openings , Job ID 58392. Please submit a single PDF file that includes 1) a cover
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consideration market benchmarks, if and when appropriate, and internal equity to ensure fair compensation relative to the university’s broader compensation structure. We are committed to offering competitive and
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about the Duke Center for Jewish Studies may be found at https://jewishstudies.duke.edu . Further information about post-doctoral services at Duke may be found at: https://postdoc.duke.edu/ . Previous
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projects. Candidates should submit a CV, a research statement, and arrange for 3 letters of recommendation to be uploaded by March 1, 2026 via https://academicjobsonline.org/ajo/jobs/31610 . Please direct
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excellence, as evidenced by a strong publication record in one or more of the following areas: random matrix theory, stochastic processes, neural networks, machine learning, and sparse data structures
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 11 hours ago
purification as part of the activities of the UNC Superfund Research Program (SRP) (https://sph.unc.edu/superfund-pages/srp/). The UNC SRP develops new solutions, interventions and treatments to reduce the