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Knowledge of programming, e.g., R, Python, etc. is preferred. The initial appointment will be offered on a fixed-term contract for up to six months. Re-appointment thereafter will be subject to performance
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. Proficiency in Python for data analysis and model development (NumPy, pandas, scikit-learn). Working knowledge of SQL and relational databases. Familiarity with at least one ML or deep learning framework (e.g
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sciences specifically with survey research, and statistical analysis Proficiency in programming with statistical software such as Stata, R, or Python Knowledge in relational databases Knowledge of SQL Equal
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; b) Programming languages: C/C++, Python, etc.; c) Previous use of ROOT and GEANT applications is considered an advantage; d) Experience in analyzing large datasets is considered an advantage; e
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 2 hours ago
they are Legal Permanent Residents of the United States. A complete list of Designated Countries can be found at: https://www.nasa.gov/oiir/export-control . Eligibility is currently open to: U.S. Citizens; U.S
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School graduates over a thousand students who are ready to take on great ambitions and challenges. For more details, please view: https://www.ntu.edu.sg/eee This position is part of the research project
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experience with MRI acquisition and reconstruction—particularly diffusion or dynamic imaging—is highly desirable, along with strong programming abilities in languages such as Python or MATLAB. Experience with
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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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Basilicata region. Where to apply Website http://www.unibas.it Requirements Additional Information Eligibility criteria Admission requirements: - PhD or equivalent degree obtained abroad; - Scientific and
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to emerging or re-emerging diseases. Proficiency in programming languages such as Python, R, SQL, or similar tools for data analysis and model development. Experience in working with large and complex datasets