670 machine-learning "https:" "https:" "https:" "https:" "https:" "UCL" positions at Nanyang Technological University in Singapore
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related discipline. You must be a current machine learning, theory and atomistic simulations for material design. You must be an excellent communicator in English, both verbally and written. You must be
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deployment enabling validation and demonstration of real-world applications. We are looking for a software engineer to develop and maintain scalable software applications with a focus on AI, machine learning
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delegated by PI Job Requirements Master qualification degree in Electronic Engineering or Computer Science Familiarity with pinching antennas and machine learning Good written and oral communication skills
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modeling, process design, process optimization, and machine learning in energy, environmental, and chemical processes. During his research career, Dr. Nguyen has authored more than 20 scientific papers, with
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at NTU. Key Responsibilities: The successful applicant will be responsible for Obtaining rigorous mathematical results geometric optimization and applications to data science and machine learning Designing
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topics ranging across programming language (especially Bayesian statistical probabilistic programming), statistical machine learning, generative AI, and AI Safety. Key Responsibilities: Manage own academic
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digitalization and computation. To further develop machine learning tasks for scent signal classification/fusion. Set up and analyze experiments under different conditions. To propose a methodology/framework in a
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an emphasis on technology, data science and the humanities. We are seeking a motivated Research Associate to support a haematology image-analysis project, contributing to the development of machine-learning and
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: PhD degree in Computer Science, Electrical Engineering, or a closely related field Strong research background in computer vision and deep learning Solid experience with multimodal learning, segmentation
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learning based optimization algorithms, human and AI coordination in best decision making for urban transportation related problems. The role will focus on developing generic frameworks and innovative