827 computer-programmer-"https:"-"U"-"UCL"-"https:"-"https:"-"https:" Postdoctoral positions in United States
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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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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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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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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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the fields of cancer survivorship, genetics, stem cell pharmacogenomics, epidemiology, biostatistics, and computational biology. The successful applicant will gain extensive training and experience in genetic
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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