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: Initial appointment is 1 year with the expected renewal after the first year for an additional 1-2 years by mutual agreement. Appointment Start Date: Flexible Start Date Group or Departmental Website: https
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 18 hours ago
and modelers to use the optical constants in the analysis of observational data from, e.g., Hubble, Spitzer, JWST. Candidates are expected to be proficient doing data reduction and analysis using Python
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scientific programming (Python, MATLAB, C/Fortran, or equivalent) and high-performance computing workflows. Proven ability to work across disciplines and manage complex modeling tasks. Excellent written and
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for large relational databases using SAS, R, Python and/or SQL. Demonstrated oral and written communication skills, and the ability to present scientific findings in various formats and to compose manuscripts
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, Python, and SAS or Stata) • Demonstrated expertise in causal inference and high-dimensional risk adjustment/predictive modeling, experience with Medicare claims data • Clear scientific writing and
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voluntary tax-deferred savings options Employee and dependent educational benefits Life insurance coverage Employee discounts programs For detailed information on benefits and eligibility, please visit: http
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metabolic regulation. Job Description Primary Duties & Responsibilities: Information on being a postdoc at WashU in St. Louis can be found at https://postdoc.wustl.edu/prospective-postdocs-2/ . Trains under
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The Advanced Photon Source (APS) (https://www.aps.anl.gov/ ) at Argonne National Laboratory (Lemont, Illinois, US (near Chicago)) invites applicants for a postdoctoral position to develop and
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SPECIFICS The Cognition, Affect, and Temperament Laboratory at The Pennsylvania State University, headed by Dr. Koraly Pérez-Edgar, seeks a Postdoctoral Scholar (http://www.catlabpsu.com ). Ideal start date
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environment. Experience with statistical software, including Stata, R, Python, and/or MATLAB. PREFERRED QUALIFICATIONS Prior research publication(s) and/or forthcoming publication(s) in top finance, economics