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well as other integrated assessment or earth system models, is highly desirable. Advanced programming skills in R and Python for data processing and visualization. Strong quantitative and analytical skills in
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, epidemiology or a closely related field . Essential Application Demonstrable programming skills in Python, including common data science / machine learning libraries (eg pandas, scikit-learn or PyTorch/JAX
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-quality research and experiments on nearshore seawater monitoring Prepare grant proposals and project reports Program using Python and test theoretical findings via computer simulations Test the methods via
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Python, as well as proficiency in other programming languages such as R, NCL, and MATLAB. Should have proficiency in scientific computing, high-performance computing (HPC), and scripting (e.g., Bash, CDO
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analyses. Develop reproducible bioinformatics pipelines and computational tools using Python and/or R. Work closely with Dr. Ren and experimental and computational collaborators to translate computational
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the university’s approved survey tool Qualtrics. They will also be expected to be proficient in either R or Python for statistical analysis, including data visualisation and mixed effect regression. They will also
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The Computer Vision-Core Artificial Intelligence Research (Vision-CAIR ) group led by Prof. Mohamed Elhoseiny at the CS Program of the King Abdullah University of Science and Technology (KAUST) is
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or reinforcement learning o Sensor fusion and state estimation o Motion planning and control • Excellent programming skills in Python and/or C++. • Experience with ROS
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skills, including statistical analysis using R, Python, SPSS, Stata, or equivalent software. • Experience with computational social science methods, including NLP, machine learning, LLMs, social media
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Engineering, or related field. At least 3 years of relevant experience in computer vision, artificial intelligence, etc. Proficiency in programming languages such as C and Python Proficiency in deep learning