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, live climate data, energy demands, and socio-technical feasibility (PESTLE) to build an actionable Decision Support Systems (DSS). You will lead the technical development of a lightweight, Python-centric
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, with demonstrable aptitude for both. Programming in R and/or Python for the analysis of sequencing and screening data. Experience in screen design, execution, and analysis is an advantage. Established
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programming languages (Python, PHP, MySQL, etc) and API development (RESTful,GraphQL, etc). Excellent communication skills and the ability to build relationships. Excellent technical skills in your specialist
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programming languages and computational tools, such as Python, R, STATA, and/or GIS, and the ability to teach computational and data-analytical methods to students from diverse disciplinary backgrounds
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areas. Develop and implement advanced analytical approaches using programming and data science tools (e.g., Python, R). Co-supervise and mentor PhD, MD, Master’s, and Bachelor’s students. Contribute
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in relevant programming languages and computational tools, such as Python and/or R, and the ability to teach computational and data analytical methods to students from diverse disciplinary backgrounds
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. Evidence of Python development skills. Proficiency in software development using several programming languages such as Python, C#, in a commercial environment. Understanding of Retrieval Augmented Generation
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vision, mobile robotics, machine learning, data science and analytics, or be able to demonstrate an equivalent professional practice and engagement. Previous experience in coding (C/C++, Python, ROS etc
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datasets, including video-coded data, event data, tracking data, athlete monitoring data or similar structured datasets. Knowledge of analytical tools or programming approaches such as Python, R, SQL, MATLAB
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; geometric or topological deep learning; higher-order network science; graph machine learning; or statistical physics of complex systems. Strong programming skills in Python and experience with modern