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Field
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holding a PhD degree in Biomedical Sciences or a related field are eligible to apply. Life sciences (Biology, Genetics, Biochemistry, etc.) PhDs with computational experience are also eligible
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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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Postdoctoral Associate Required Qualification: (as evidenced by an attached resume) Ph.D.(or foreign equivalent) in Mechanical Engineering, Electrical Engineering, Computer Science, Robotics, or a
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involving extensive use of desktop computers. The job does occasionally require traveling some distance to attend meetings, and programs. Salary Range: The anticipated hiring range is $60,000–$65,000
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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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quantum information science. Specific topics of interest include dynamics in closed and open quantum systems, digital and analog quantum simulation with quantum computers or atomic-physics platforms, and
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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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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 9 hours ago
USNH Employees should apply within Workday through the Jobs Hub app The Global Ecology group at the Earth Systems Research Center, University of New Hampshire (UNH), has an immediate opening for a postdoctoral research associate. The goal of this project is to advance understanding of how...
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contribute to open-source code repositories and documentation. Position Requirements Required skills, knowledge and qualifications: PhD in physical oceanography, coastal engineering, computational science
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. Familiarity with computational modeling of structure-function relationship Experience in identifying metabolites in biological samples. Sufficient knowledge in statistical analysis tools (e.g., SAS, R, XLstat