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apply online at https://puwebp.princeton.edu/AcadHire/position/40321. Applicants should submit a letter of application, a CV, a writing sample of no more than 10,000 words, and the contact information
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Previous Job Job Title Postdoctoral Research Scholar, Weed Science Program Next Job Apply for Job Job ID 58392 Location Columbia Full/Part Time Full-Time Add to My Favorite Jobs Email this Job Job
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related fields research program. Assists with study design, implementation, and data acquisition, including cognitive task programming, scoring, coordination of research participant study visits
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California State University, San Bernardino | San Bernardino, California | United States | 12 days ago
faculty and offers 48 undergraduate, 35 graduate, and one doctoral degree programs and 14 academic programs with national accreditation. At CSUSB, diversity, equity and inclusion are values central to our
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tasks under the supervision of the faculty member assigned; Conducting background electrochemical sensing research; Developing and implementing an evaluation plan and preparing progress reports as needed
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dependent educational benefits Life insurance coverage Employee discounts programs For detailed information on benefits and eligibility, please visit: http://uhr.rutgers.edu/benefits/benefits-overview
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. This post-doc position presents a unique chance to conduct interdisciplinary collaborative research in BNL programs. Essential Duties and Responsibilities: Conduct research in ML, multimodal foundation models
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respiration, POXC, aggregate stability, ACE protein, potentially mineralizable nitrogen, etc.). Proficiency with statistical analysis and data management using software such as R, SAS, or similar programs
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retirement programs (457 or 403b) are available. https://www.kumc.edu/human-resources/benefits.html Employee Type: Regular Time Type: Full time Rate Type: Hourly Compensation Statement: The pay range listed
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relevant to modern data science (e.g., Bayesian or frequentist inference, information theory, uncertainty quantification, high-dimensional methods). Programming skills in Python and/or R, with evidence of