3,037 phd-position-in-data-modeling-"Prof"-"Prof" Postdoctoral positions in United States
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work directly with Alexander Vezeridis, MD, PhD, on active projects and will have the opportunity to contribute to project design and direction. This position is ideal for researchers looking to deepen
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phenotypic, genotypic, and environmental data to build prediction models for key traits of blueberry such as flowering time, yield, and fruit quality. This position reports to Dr. Sushan Ru at Auburn
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Posting Details Position Details Title Post-Doctoral Positions Atomic Physics/Quantum Information Appointment Status Non-Tenure Track Department IU Bloomington Physics Location Bloomington Position
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Applicants should submit a cover letter, curriculum vitae, and contact information for three references to Dr. Sokol Todi at stodi@wayne.edu . The position is available immediately, with flexibility for start
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Materials: Please e-mail to Stephen Skirboll at skirboll@stanford.edu (link sends e-mail) Does this position pay above the required minimum?: No. The expected base pay for this position is the Stanford
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Qualifications PhD in Developmental Biology, Cell Biology, or related fields. Strong background in cell biology, different types of fluorescent imaging, and organoid culture required. Experience with model
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/Administrative Internal Number: 6380082 University of California Irvine Open Positions - Postdoctoral Scholar Series (UCI MIND) 2025-26 Position overview Salary range: The salary range for this position is $66,737
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. Applicants with experience in Bayesian modeling, spatial statistics, mathematical modeling, data integration, uncertainty quantification and/or machine learning are encouraged to apply. The postdoc will also
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Posting Details Position Information Job Title Post-doctoral Fellow – Nutrient Management, Greenhouse Gas Emission, and Hydrological Modeling Posting Number P1997F Position Summary Information Job
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, supersonic, and hypersonic regimes. The position involves the development and application of high-fidelity computational fluid dynamics (CFD) methods, theoretical modeling, and data-driven approaches to study