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and analysis pipelines using MNE-Python, and contributing to the analysis of pilot EEG data. The post-holder will also support the development of behavioural coding approaches for social interaction and
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machine learning methods • Proficiency in transport planning software such as EMME or PTV Visum. • Programming expertise in at least one language, e.g., Python, Java, or C++. • Strong written and
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/stochastic optimization and proficiency in Python or MATLAB. Applicants are invited to contact Dr Liu Wei at telephone number 2766 6928 or via email at [email protected] for further information
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building-energy data; (b) build load/renewable-generation forecasting and PV–ESS–HVAC energy optimisation/control models; (c) implement data pipelines, Python APIs and visualisation; (d) deploy and
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interactions in the extreme ultraviolet (EUV) regime Develop new, efficient software for modeling unprecedented electromagnetic phenomena, using languages such as C++ and Python Formulate new theories pertaining
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• Excellent coding skills in python with pytorch (distributed deep reinforcement learning, Transformers, etc.) • Literature review/summarizing skills
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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 lab experiments Publish
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verification and/or formal methods; (c) excellent programming skills in Python and experience with modern AI frameworks (e.g., PyTorch), LLM ecosystems and agent development frameworks; and (d) strong
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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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turbulent flow simulations. 3. Background in numerical methods and scientific computing. 4. Proficiency in Python programming and high-performance computing on modern GPU-based platforms