822 computer-programmer-"https:"-"https:"-"https:"-"UCL" Postdoctoral positions in United States
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Field
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-related duties as assigned. Minimum Qualifications MD or Ph.D. in Basic Science, Health Science, or a related field. No experience required. Preferred Qualifications Be able to plan and conduct experiments
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laboratory of Dr. Peng Zhong (principal investigator/PI) with the PI and his research team to plan, develop, implement, and conduct research projects at UNMC. Dr. Zhong’s laboratory is interested in
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among material properties, electrochemical performance, and battery system cost at the material, cell, and pack levels. The researcher will plan and advance performance and cost modeling of energy storage
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the following with or without a reasonable accommodation: 1. Work on a computer for extended periods 2. Move about in various locations on and off campus as needed to complete day-to-day work 3. Effectively
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Postdoctoral Research Associate I, Psychology (Genetically Informed Studies of Social Connectedness)
applicant with demonstrated experience with advanced statistical methods, including a focus on causal inference, bioinformatics and computation (more broadly), or other cutting-edge analytic tools
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limited to, ATLAS at CERN, the South Pole Telescope, and the Simons Observatory. The candidate is also expected to work closely with computational experts at the Computational Science (CPS) division
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Posting Details Position Information Posting Number PG191354PD Position Number 00111102 Position Type Post Doc FLSA Exempt Departmental Information Department ID 140401 - Electrical & Computer
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, United States of America [map ] Subject Area: theoretical and computational mathematics and mechanics Appl Deadline: (posted 2025/11/14 05:00 AM UnitedKingdomTime, listed until 2026/05/15 04:59 AM UnitedKingdomTime
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Extensive knowledge of Microsoft Excel and good computer programming skills Knowledge of techno-economic analysis and life cycle analysis Experience working with Argonne’s EverBatt model, GREET model, and
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Qualifications – Experience, Education, Knowledge & Skills Data Science Experience: Proficiency in using R or Python for phylogenetic comparative methods and high-performance computing (HPC) environments