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proficiency in Python (e.g., NumPy, Pandas, scikit-learn, PyTorch, TensorFlow); additional experience with R, MATLAB, or Julia is an advantage. Machine Learning Expertise: Familiarity with supervised
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Maths or Statistics, or related subjects. You must be proficient in brain imaging, biosignal processing (preferably EEG), and programming in MATLAB, Phython or similar. You must also demonstrate your
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development, environmental science fieldwork, electronics design, and data science. Knowledge of Python, C++, Matlab or ROS would be of benefit. The project involves extensive fieldwork, and candidates should
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presenting results in a suitable format for dissemination of results in reports presentations, and research papers etc. Demonstrable knowledge of Programming skills (Python/C++/Matlab) Interest in developing
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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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, with careful attention to charging protocols and risk mitigation. You are proficient in programming with Python, C++, MATLAB, and have strong experience with ROS, alongside familiarity with R
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programming skills in languages such as Python, MATLAB or R. Familiarity with UNIX/LINUX. High level analytical capability. Ability to communicate complex information clearly. Ability to assess resource
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and strong teamwork skills, with a willingness to work as part of a large multi-disciplinary team Strong computer programming skills. Specifically, experience in the use of Matlab and/or Python
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(or capacity to develop understanding) in relevant field Good programming skills in a data processing and visualization language such as Python, MATLAB, R or NCL Experience with UNIX/LINUX and High
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, ground penetrating radar or magnetometers Proficiency in scientific computing (e.g. Python, MATLAB, or similar) for data processing and data handling Experience with data processing, analysis and