1,105 data-"https:"-"https:"-"https:"-"https:"-"UNIVERSITY-OF-LUXEMBOURG" Postdoctoral positions in United States
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the supervision of technical staff and may assist and supervise graduate and undergraduate students. - Record and analyze data/results; report research through regular oral presentations and published in a timely
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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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should include: proficiency in carrying out experiments using optical physiological, biochemical and molecular techniques; and prior studies and data analysis in molecular neurobiology or related field
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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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: Pathology Biomedical Data Science Postdoc Appointment Term: 1 year (renewable) Appointment Start Date: As soon as feasible; February 2026 How to Submit Application Materials: Please email the required
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the appointment start date; demonstrate strong expertise in computational biology or data-driven modeling, with experience in one or more of the following areas: machine learning or deep learning, structural
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to submitting your application, please review and update (if necessary) the information in your candidate profile as it will transfer to your application. Job Title: Post Doctoral Scholar - Molecular Medicine
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Requisition Details GENERAL REQUISITION INFORMATION EEO Statement: UNMC is an Equal Employment Opportunity Employer, including an equal opportunity employer of protected veterans and individuals
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to submitting your application, please review and update (if necessary) the information in your candidate profile as it will transfer to your application. Job Title: Post Doctoral Scholar NRSA Department: Health
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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