72 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" Fellowship positions at National University of Singapore
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agencies. Qualifications • PhD in Robotics, Mechanical Engineering, Mechatronics, Computer Vision, or a closely related field. • Strong expertise in robot design and at least one of
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tunnel experiments is a plus • Experience in programming and AI/machine learning is a plus More Information Location: Kent Ridge Campus Organization: College of Design and Engineering Department
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with industry research and requirements. More Information Location: Kent Ridge Campus Organization: College of Design and Engineering Department : Electrical and Computer Engineering Employee Referral
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with collaborators. Possess strong interpersonal, writing and presentation skills, with a passion for learning. Only shortlisted candidates will be contacted. Salary and benefits are commensurate with
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practices in the fields of biology. Principles, techniques and terminology used in cancer biology. Methods of scientific research and relevant scientific theories. Appropriate computer operations, software
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for a highly motivated researcher to join the Centre for Holistic Initiatives for Learning and Development (CHILD), Yong Loo Lin School of Medicine, National University of Singapore. The position can be
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, enriching academic programmes and promoting a collaborative learning environment. Uphold exemplary standards in record keeping, data confidentiality, and laboratory best practices, ensuring compliance with
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equipment with advanced technologies (including mouse biocontainment units, flow cytometers, aerosol inhalation machine, PET/CT imaging, etc.). Currently, the facility is open to researchers from NUS and
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for a motivated and experienced Programme Manager to join the Centre for Holistic Initiatives (CHILD) for Learning and Development, Yong Loo Lin School of Medicine, National University of Singapore. CHILD
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development, with a focus on both laboratory and bioinformatic analyses to generate high-quality research data. Contribute to virtual learning platforms, including scheduled virtual webinars on pathogen