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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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: Proficiency with electrodynamics and electromagnetism; familiarity with quantum physics/quantum electrodynamics is a plus. Proficiency in scientific programming e.g., C, C++, Python etc. 2. Research Fellow
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such as Python and/or R, with experience analyzing large-scale molecular, clinical, or biomedical datasets. Experience developing or applying machine learning, statistical modeling, or artificial
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, and be highly proficient in Python, Large-Language Models and Natural Language Processing. Qualifications • PhD in Computer Science, especially in the context of NLP. • Coding
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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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near completion) in astrophysics, physics, cosmology or a related field; strong scientific programming skills (Python); research experience in time-domain astrophysics, supernovae, galaxy evolution
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conferences and journals, specifically in Computer Vision and/or Natural Language Processing Proficiency in python and deep learning libraries (pytorch) Proficiency in git, Docker, python, and SQL Experience in