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collaboratively in a multidisciplinary team. Supervision Exercised This position will not supervise anyone. To apply: Please apply via Academic Jobs Online https://academicjobsonline.org/ajo/jobs/31628 Qualified
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Bioinformatics, Computational Biology, Genomics, Computer Science, or a related field. Strong programming skills and familiarity with Omics data analysis and integration. Track record of peer-reviewed publications
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generous financial aid program ensures that talented students from all economic backgrounds can afford a Princeton education. Connections working at Princeton University More Jobs from This Employer https
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Research Center’s Postdoctoral Training Program (https://www.bcm.edu/research/research-centers/usda-ars-childrens-nutrition-research-center/education/postdoctoral-fellowship-in-childrens-nutrition) . Attends
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after 12 months of employment. A retirement program with a generous employer contribution and additional voluntary retirement programs (457 or 403b) are available. https://www.kumc.edu/human-resources
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computational methods, proficiency in R or other applicable software packages, ability to develop scripts for R and Echoview, and statistical modeling. Interest in fisheries, fisheries acoustics, aquatic ecology
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, computing icequake source parameters, and detecting glaciohydraulic tremor. The ideal candidate will have a Ph.D. in Earth Sciences with a focus on either glaciology or seismology, demonstrated experience in
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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
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. Postdoc Scholars may also be eligible for retirement savings and tuition programs. For program details and eligibility, please visit https://hr.gwu.edu/postdoc_benefits. II. POSITION INFORMATION Posting
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to Computational Fluid Dynamics. Mathematical topics of interest include structure-preserving finite element methods, advanced solver strategies, multi-fluid systems, surrogate modeling, machine learning, and