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Field
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computing with Python and R; (d) experience in high-performance and cloud computing for data processing; (e) the ability to work independently and collaboratively with an interdisciplinary research team
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Science, Physics, Applied Mathematics, Electrical Engineering, Data Science, or a related discipline. Demonstrated practical experience in scientific programming (e.g., Python, MATLAB, C++), algorithm development
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author publication(s) in journals relevant in your field and/or shared as preprints Strong statistical foundation and expertise in R or python for data analysis Fluent in written and spoken English and
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(CFD) methods. The role focuses on transitioning legacy CFD solvers to modern, Python-based AI frameworks (e.g., PyTorch, JAX), targeting high-efficiency, scalable simulations of water-air systems with
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and report project progress. Ability and willingness to work some flexible hours. Strong interest in systems research Strong programming skills in C++, Golang, or Rust and Python We regret that only
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ability to work independently and in a team environment. Preferred Qualifications: Experience with real-time embedded systems. Background in AI-control frameworks. Proficiency in MATLAB/Simulink and Python
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programming skills are UNIX/LINUX, and programming languages such as Python, R or MATLAB. Role Summary Implement and test different ML architectures for postprocessing precipitation forecasts over India
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Machine Learning Group, Department of Engineering, CambridgeMLG Cambridge About Us News Research Publications People PhD Admissions Blog Latest News Papers with MLG authors to appear at ICML and AABI 2024 Nine papers with MLG authors will appear at ICML 2024 in Vienna, Austria, and many papers...
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Institute of Systems and Robotics, Faculty of Sciences and Technology of the University of Coimbra | Portugal | 9 days ago
experimental practices—demonstrated through coursework, academic projects, or introductory participation in R&D activities (40%); Criterion 3: Basic programming skills in Python or C++, as well as initial
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foundation for image analysis (e.g., affine transformations, convolutional filters, matrix and morphological operations) Programming skills in Python, MATLAB, and/or experience with ImageJ, Napari, Imaris