228 machine-learning-phd Fellowship positions at Nanyang Technological University in Singapore
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of analyzing large-scale population data. Experiences working with electronic health records (desirable). Understanding of clinical informatics approaches (e.g., machine learning, Bayesian statistics) and
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is an ‘exciting place to learn and grow'. We welcome you to join our community of faculty, students and alumni who are shaping the future of AI, Data Science and Computing. The College of Computing
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. Perform thermal characterization and real-application tests. Prepare monthly reports and presentations for meetings and project deliverables. Mentoring of PhD students. Job Requirements: Possess PhD degree
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for the position of Research Fellow. Key Responsibilities: Conduct research on mechanics of soft robotics Collaborate with team members (Research Associates, Project Officers, PhD students), and mentor undergraduate
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. Provide logistical/administrative support pertaining to laboratory operation for the project. Job Requirements: PhD degree degree in either material science or applied physics or relevant subject from well
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. Contribute to technology transfer activities and engagement with industry or governmental stakeholders. Requirements: PhD in Physics, Engineering, or related field. Extensive experience in Rydberg atom
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. Competencies and Educational Requirements: PhD in Biomedical Engineering, Biochemistry, Biology, Chemical Engineering, Pharmaceutical Sciences, or a related field. Strong background in molecular biology and
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metallic components (ferrous and non ferrous). Job Requirements: PhD (or Engineer with minimum 2 years of experience) in materials/mechanical engineering, in the field of solid state material recycling
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characterization. Experience or interest in conducting interdisciplinary research, particularly in the intersection of machine learning and materials informatics. Ability to work effectively in an interdisciplinary
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to research deliverables, such as manuscript writing, attending local and/or international conferences Mentor and supervision of undergraduate/PhD students and junior research staff Collaborate effectively with