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knowledge of the programming languages Python and C++, especially in the context of managing hardware components Preference will be given to candidates with: - experience in developing, installing and
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, but not essential. This project will involve a mix of analytic and numerical work; therefore strong technical skills in both pen-and-paper calculations and coding using either Python or Mathematica
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have experience of compressible-flow rig design, CD CAD, and the ability to work across systems integration topics, along with programming in one or more of: Python, Matlab, C, C++, FORTRAN, LabVIEW. You
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in machine learning and/or advanced analytical methods, experience working with complex or large-scale datasets, and strong programming skills (e.g., Python or R). You will be able to communicate
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software (e.g. ArcGIS, QGIS) and coding environments (e.g. Python or R), collaborating across LUMHR themes, and supporting interdisciplinary research activity. Teaching support may be required, up to a
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. The key objective is to support efforts to advance fundamental and high-impact research. For more details, please view http://www.ntu.edu.sg/spms . Join the laboratory of Shilei Ding at SPMS. We are seeking
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. Recognised Researcher position has been opened. The ideal candidate holds a master's-level background in robotics, AI or related fields, with strong Python/C++ skills and experience in machine learning
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to apply Website https://recrutement.univ-angers.fr/poste/nga4edph0o-ingenieuree-de-recherche-en… Requirements Research FieldComputer scienceEducation LevelMaster Degree or equivalent Skills/Qualifications
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, and/or numerical mathematics, as well as an excellent command of a programming language, preferably Python or C/C++. The candidate should have an interest in modeling and solving a complex, coupled
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, using modern ETL/ELT tools and orchestration frameworks (for example, Python-based pipelines, dbt Core, Airflow or Prefect) Collaborate with database administrator to design and optimize data structures