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, including analysis of genomic/metagenomic/transcriptomic data, would be an advantage. Experience with R, Python, Linux/Unix, sequence-analysis tools, or biological databases is an advantage. Good analytical
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.). Proficiency in hard skills: optical thin-film simulation, micro/nano fabrication, optical path construction, data analysis, and programming (MATLAB/Python etc.). Competent in soft skills: independent problem
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Good written and oral communication skills Proficiency in basics of programming languages such as Python Self-Motivated and takes initiative We regret to inform you that only shortlisted candidates will
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benchmarking Proficiency in quantitative research methods, statistical analysis, and computational techniques Proficiency in programming languages such as Python and statistical software such as R, with basic
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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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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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chemistry and a programming background in Python and C++. Preferred: Familiarity with wavefunction-based quantum chemistry. Experience and interest in fundamental studies of chemical reactions, kinetics
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data analysis using MATLAB, Python, C/C++, or equivalent tools. Experience: Demonstrated research experience through peer-reviewed publications in relevant fields. Experience in developing and
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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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: 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