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advanced computational approaches to improve the prediction of meat quality. The successful candidate will be expected to work independently while thriving in a collaborative environment. Strong initiative
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at https://postdoc.wustl.edu/prospective-postdocs-2/ . Trains under the supervision of a faculty mentor including (but not limited to): Study Development: Conducting literature review, designing studies
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 20 hours ago
Requirements Special Instructions For information on UNC Postdoctoral Benefits and Services click here Quick Link https://unc.peopleadmin.com/postings/314243 Posting Contact Information Department Contact Name
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and the Applied Plant Sciences graduate program. Pay and Benefits Pay Range: $63,000-$67,000 ; depending on education/qualifications/experience Please visit the Benefits for Postdoctoral Candidates
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Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job About the Job: This post-doc will work collaboratively in a multidisciplinary team of clinicians, scientists and engineers
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salary. You will also be required to upload a cover letter and CV or resume. To view the University of Kentucky’s exceptional benefits, please visit https://www.uky.edu/hr/benefits . Skills / Knowledge
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Computer Science, AI, Machine Learning, Computer Engineer or a related field. Strong background in machine learning and machine learning frameworks Proficiency in Python and deep learning frameworks A combination of
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, computational biology, or related disciplines 2) Ability to work in highly collaborative teams, a strong track record of innovative research contributions, and strong work ethic. 3) Some experience with organic
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highly motivated Postdoctoral Scholar to work at the interface of fire ecology, forest dynamics, and ecosystem modeling as part of the Western Fire and Forest Resilience Collaborative (WFFRC; https
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successful, independent, and productive postdocs and PhD students. We are looking for an enthusiastic and highly motivated candidate with a Ph.D. degree in Mathematics, Computer Science, Engineering or a