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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 13 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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dependent educational benefits Life insurance coverage Employee discounts programs For detailed information on benefits and eligibility, please visit: http://uhr.rutgers.edu/benefits/benefits-overview
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understanding of how clinical data science and machine learning impact healthcare data in addition to guidance on programming methods to process data. Basic programming skills (Python or R) and knowledge
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the consortium Your Profile: Excellent Master and subsequent PhD in computer science, engineering, biophysics, applied mathematics, computational biology or a related field Proven programming expertise in Python
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 6 days ago
regarded, as will proficiency in Python, Julia, or RStats, and experience in industry engagement. To excel in this role, you will be a self-starter who has demonstrated experience in project management and
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software (preferably R; but also Python, C++, Matlab are considered) Very good English language skills (level C1), German language skills not required Strong motivation to work in an interdisciplinary
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experimental systems for cryogenic measurements Development of a microwave quantum control & readout stack Development of Python code to operate quantum systems Detailed experimental characterization
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part of the Forschungsverbund Berlin (https://www.fv-berlin.de/) and the Leibniz Association (https://www.leibniz-gemeinschaft.de). You can find more details on the institute webpage: https://www.ikz
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of programming techniques in Python, C, and C++; Advanced proficiency in Windows operating systems and Office 365 suite; Advanced knowledge of the MATLAB environment; Very good knowledge of AVR and STM32
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reliability, or fault-mitigation techniques. Strong programming skills (C/C++, Python; hardware-description languages “e.g., HLS, VHDL” is a plus). Motivation to pursue a PhD and contribute to applied AI