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multiple Asian cohorts. The position focuses on data harmonisation, statistical genetics, and developing and validating machine learning cancer risk models. Key Responsibilities: Data harmonization
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diseases and ageing, and have multiple national and international collaborations. Key Responsibilities: Perform tasks and support all aspects of the research project. Conduct accurate monitoring, documenting
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diseases and ageing, and have multiple national and international collaborations. Key Responsibilities: Perform tasks and support all aspects of the research project. Conduct accurate monitoring, documenting
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patient care. The position aligns with the School's mission to advance research on AI in medicine and improve patient outcomes through cutting-edge AI technologies. Key Responsibilities: Conduct research
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and ageing, and have multiple national and international collaborations. Key Responsibilities: Perform tasks and support all aspects of the research project Conduct accurate monitoring, documenting and
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multiple stakeholders. - Excellent analytical abilities and academic writing skills. - Familiarity with, or teaching experience in, the Singapore education system is highly advantageous. Responsibilities
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, such as PennyLane, Qiskit, and similar platforms, is preferred. Capable of handling multiple tasks across projects and research activities. Showing excellent communication skills, and willingness to learn
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relevant data science and machine learning tools. Able to work independently and comfortably with a team and external/international collaborators. Able to handle multiple tasks relevant to both project and
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multiple tasks, prioritize effectively, meet deadlines, and maintain accurate records Ability to work effectively as part of a research team, collaborate with principal investigators, other researchers, and
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on the development of reconfigurable electromagnetic coil system for collaborative control of multiple capsule robots. Key Responsbilities The research assistant will work on a project to conduct the