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. Expertise in deep learning, multimodal LLMs, and Vision-Language-Action models. Strong programming skills in Python, with significant experience in PyTorch. Hands-on experience with robotic systems
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: PhD in Civil Engineering or related field At least 2 years of relevant experience in technical hands-on experience for TBM tunneling and excavation Excellent programming skills, such as Python, MATLAB
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learning or AI/ML methods to complex scientific datasets. Strong programming and scientific computing skills in Python (e.g. numpy, pandas, PyTorch and/or JAX). Experience analysing complex biological
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related field. Strong analytical and manuscript preparation skills, experience analysing complex clinical or biological datasets and the ability to develop well-documented code in R, Python or another
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graphs or multi-agent reinforcement learning. Strong programming skills in Python and AI frameworks such as PyTorch, JAX or TensorFlow, combined with excellent analytical, problem-solving, communication
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.), data-driven modelling and control methods (e.g., reinforcement learning, transfer learning, etc.) Proficiency in programming tools and languages, e.g., MatLab, Python, Modelica, C, ForTran, etc. We
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techniques e.g. Gaussian/Amber/Schrödinger/python/bash For more information, please contact Asst Prof Shao, Huiling ([email protected] ). We regret to inform that only shortlisted candidates will be
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or administrative data, and advanced programming skills in Stata, R and/or Python. We offer an occupational pension scheme, generous annual leave, hybrid working, and excellent training and development opportunities
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responsibility is to build and validate these offloading strategies, complete with Python application programming interfaces (APIs), through rigorous simulations and proof-of-concept (PoC) trials. This position is
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laboratory data. strong skills in GIS, spatial statistics, digital soil mapping, geostatistics or related quantitative methods. proficiency in reproducible data analysis using R, Python or equivalent software