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Field
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. Strong programming skills in Python, with proficiency in deep learning frameworks such as PyTorch, TensorFlow, or JAX.. We regret that only shortlisted candidates will be notified. Hiring Institution: NTU
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new deep learning algorithms for spatio-temporal medical image analysis with particular focus on learning from limited labelled data. Start date: Fall 2026 Duration: The appointment is for 3 years It is
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time-management skills are a must. Research grant writing experience and a publication track record are highly desired. Preferred Qualifications: Expertise in machine learning, deep learning, natural
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Engineering in the 2025 QS World University Rankings by Subjects. The EEE Rapid-Rich Object SEarch (ROSE) Lab focuses on research in: (i) visual search & retrieval, (ii) video analytics & deep learning, and
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, and finally using deep learning to solve the complexity challenge associated with coherent beam combination. The role Within HiPPo, your specific task will be to develop a ‘digital fibre laser’, through
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, Isaac Gym, Habitat, AirSim) and experience in combining symbolic reasoning with deep learning approaches will be well regarded. This is an exciting opportunity for a motivated researcher to build
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Engineering, Mechatronics, Computer Science, etc. Strong background in AI, Vision Language Model, end-to-end autonomous driving, deep learning, computer vision, robotics and automation. Candidates having
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, scikit-learn, PyTorch, TensorFlow); additional experience with R, MATLAB, or Julia is an advantage. Machine Learning Expertise: Familiarity with causal machine learning, ensemble methods, and deep learning
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, scikit-learn, PyTorch, TensorFlow); additional experience with R, MATLAB, or Julia is an advantage. Machine Learning Expertise: Familiarity with causal machine learning, ensemble methods, and deep learning
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preferred. Background with pharmacology, cell therapy or antibody engineering is also desired. · Strong experience in induced pluripotent stem cell (iPSC) establishment possesses a deep understanding