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knowledge of programming, including Linux, Python, and R. Candidates having background knowledge in neuroimaging, machine learning, and/or genomics/genetics are encouraged. Excellent communication and writing
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Python and/or MATLAB. System evaluation using precision electronic measurements; and network, spectrum, and logic analysis. Development of multiplexed microwave and baseband signal and data acquisition
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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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at least one of the following: R, SAS, Python, SQL, Java, and/or Rust, Code annotation, change control, and has demonstrated experience using the REDCap data collection software platform. We are seeking
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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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contributor in technology governance and long-term IT strategy. The full job description is available, here: https://www.dropbox.com/scl/fi/wsfq3tkylrvbj54db5aoi/Principal-SW-Engr-Final-updated-12-19-25.docx
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | about 2 months ago
API development (Python or C# is an advantage), · practical knowledge of relational databases, SQL and ORM frameworks, · version control (Git) and software artifacts handling in containerised
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foundational and advanced Artificial Intelligence topics such as Python programming, data analysis, machine learning, artificial intelligence tools and frameworks, neural networks, and ethical considerations in
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Python or C/C++. The candidate should have an interest in developing novel bivariate methods in machine learning for molecular property prediction within an interdisciplinary application. Ideally
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technology policy, depending on the research focus Experience using common research and instructional tools, including: Programming and analysis tools (e.g., Python, MATLAB, GitHub/GitLab) Learning and