582 programming-"IMPRS-ML"-"IMPRS-ML"-"IMPRS-ML" positions at National University of Singapore
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including staffing and organizational needs of the project team, and preparing high-level project plans with project timeline and resource requirements Development of research hypotheses Plan and perform
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including staffing and organizational needs of the project team, and preparing high-level project plans with project timeline and resource requirements Development of research hypotheses Plan and perform
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to safeguard the artifacts and props Facilitate tours, events, talks, workshops and programs Work on rotational basis, shift-hours and weekends To provide logistic support and set up events including set up
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collaboration and achieving the objectives of programme and initiatives. • Exceptional problem-solving and critical-thinking skills, with a track record of effectively addressing technical challenges and risk
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literature review Plan, manage and execute data collection in accordance with NUS research policies and guidelines Supervise student assistants in research-related activities (e.g. literature review, data
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administration, conducting education and training programs, convening meetings, and secretariat functions. Duties & Responsibilities Working under the direction of the Director and Head of Operations at the ACHS
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Responsibilities Designing and managing a programme of research to meet agreed objectives. Working closely with experimental and data scientists in the group to ensure the progress of the project. Oversee
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Responsibilities Designing and managing a programme of research to meet agreed objectives. Working closely with experimental and data scientists in the group to ensure the progress of the project. Oversee
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Responsibilities Designing and managing a programme of research to meet agreed objectives. Working closely with experimental and data scientists in the group to ensure the progress of the project. Oversee
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clinical risk prediction, machine learning and causality predictives. • At least 2 years hands-on experiences in data management and analysis using standard software programs such R, Stata, python. • Very