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Field
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empirical data You have experience setting up Nextflow pipelines You have experience working in high-performance computing environments You have programming competence in R and/or Python Desirable but not
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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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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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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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Investigators and their teams to create analytic datasets in SQL server. This will require gathering specifications and listening to requirements from various teams. The position must be responsive to different
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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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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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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
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discipline. Demonstrated experience in scientific programming, scientific software development, or data-intensive computing. Experience with Python and at least one high-performance programming language such
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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