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Python, MATLAB, R or equivalent You must have relevant knowledge or experience in one or more of the following: railway engineering, infrastructure maintenance, rolling stock, condition monitoring, sensor
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good to very good grades Programming experience, especially good to very good knowledge of Python Experience with machine learning, in particular with neural networks and their implementation (PyTorch
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. Analytical and Computational Skills: Demonstrated ability to analyse complex suspension flows, with proficiency in scientific programming (Python or MATLAB) being highly valued. Research Excellence: A strong
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About us University College London (UCL) UCL is a multi-disciplinary university with a population of over 13,000 staff and 42,000 students from 150 different countries. Degree programmes
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that accelerate scientific discovery and societal impact. Help to identify appropriate hardware, software, and cyberinfrastructure platforms for different stages of research and development, including data
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must have excellent written and oral English skills You must have good programming and data-analysis skills, for example in Python, MATLAB, R or equivalent You must have relevant knowledge or experience
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solutions. APIs & Integrations to connect with supply chain platforms. AI/ML skills to train, test and validate the developed module (e.g., Python, TensorFlow, PyTorch, etc.). An ability to communicate
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their own professional competencies and the ERC’s ability to meet growing instructional and programmatic demand. We are hiring two GA's each with a different focus areas: Statistical Methods & Quantitative
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data from textual sources Conduct data analysis using econometric and statistical tools (STATA, R, or Python). Assist in literature reviews and summarising academic research. Contribute to writing
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research. Particular attention will be given to the spatial and temporal dimensions of transportation impacts, differences between transport modes and geographical contexts, and the implications