1,053 data-"https:"-"https:"-"https:"-"https:"-"University-of-Ostrava" Postdoctoral positions in United States
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will receive full consideration. Key Responsibilities AI-ready data and analysis for the ePIC Barrel Imaging Calorimeter and our Jefferson Lab program Support for the PRad-II and X17 experiments
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current resume/CV, including academic history, employment history, and relevant experiences. One Recommendation - Applicants are required to provide contact information for one recommender to submit
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motivated Postdoctoral Research Fellow to develop and apply innovative, data-driven models for seismology, with a focus on developing cutting-edge foundation models. This is an exceptional opportunity
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. Instrumentation and techniques that may be utilized within the fellowship for data collection and analysis including UV-visible spectrometers, fluorescence, Raman spectroscopy, SEMs, microscopes, lasers, and other
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University of North Carolina at Greensboro | Greensboro, Indiana | United States | about 23 hours ago
Posting Details Position Information Position Number 999704 Functional Title Post Doctoral Fellow Position Type Research Position Eclass EP - EHRA 12 mo leave earning University Information Located
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make a difference in the world! Position Information This Postdoctoral Research Associate position will play an active role in research, including working on data, presentations, publications, project
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Posting Details Position Information Posting Number PG191587PD Position Number 00107539 Position Type Post Doc FLSA Exempt Departmental Information Department ID 111801 - Entomology and Plant
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, computer science, or a closely related field by the appointment start date; demonstrate strong expertise in computational biology or data-driven modeling, with experience in one or more of the following areas
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literature reviews; assisting with the collection, management, and analysis of qualitative and quantitative data; contributing to scholarly publications, policy briefs, and practitioner‑focused resources; and
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the ability and motivation to develop expertise in large-scale model training and scaling on HPC systems, as well as in handling the unique characteristics of scientific data, including large-scale numerical