11 machine-learning-"Mathematics" Fellowship research jobs at Nanyang Technological University in Singapore
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Research Fellow (Process Control/Control Science & Engineering/Applied Mathematics/Machine Learning)
Requirements: Obtained a PhD degree (or will be awarded PhD degree shortly) in Process Control, Control Science And Engineering, Applied Mathematics, Machine Learning or related fields. An excellent track record
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PhD degree in Computer Science (And Engineering), Electronic Engineering, Applied Mathematics, Perception Sciences, etc. Have good technical reading, writing and programming skills. Have good experience
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and Mathematical Sciences is seeking a Research Fellow to contribute to a project focused on large random matrices and machine learning. Key Responsibilities: Conducting research in one or more of the
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traveltime tomography + full waveform inversion) technologies to image the detailed near-surface subsurface structures from tens of meters to a few kilometers. In addition, machine learning techniques will be
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degree in computer science, software engineering, mathematics, or a related field. Strong background in multimodal learning, natural language processing, domain adaptation, and knowledge graph
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Good knowledge of PDE, computing and machine learning We regret to inform that only shortlisted candidates will be notified. Hiring Institution: NTU
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Sciences, Nanyang Technological University. Key Responsibilities: Carry out investigations in critical fields of quantum machine learning, quantum information and quantum computation. Discuss work with
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PhD degree in Computer Science, Electrical and Electronic Engineering, or their equivalent Good publication record in areas like networking, machine learning and generative AI Strong mathematical
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Responsibilities: Conduct research in Systems Biology to study cell signaling Perform large-scale signaling analysis or protein-interactome analysis Utilize machine learning-based biological data mining and analysis
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Mathematics 2. Coding Skills: Familiar with any of the major deep learning libraries, including Pytorch, TensorFlow, MatConNet Familiar with image processing and optimization toolboxes in Matlab We regret