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interview scheduling and booking facilities. Basic research: conduct literature review Data collection: participate in the data collection process for both qualitative (e.g. interviews) and quantitative (e.g
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learning platforms, including scheduled virtual webinars on pathogen genomics, and ensuring the academy’s database and learning management system content is up-to-date. Supervise, train and coordinate work
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team of student assistants in fieldwork and data collection. Responsibilities: Carry out participant recruitment for the project. Manage the data collection schedule for the research team. Participate in
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lifestyle data. Conduct standardized neuropsychological assessments with study participants. Support participant recruitment, including screening, scheduling, and obtaining informed consent. Maintain accurate
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projects Maintaining ethics documents for institutional review boards Participant recruitment and scheduling Data collection using psychological and neurocognitive techniques, such as cognitive testing
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and develop machine learning and mathematical optimization solutions for electric vehicle (EV) fleet charging scheduling problems with considerations of various smart power grids, battery degradation
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assigned by senior staff or the MACC Director, including secretariat duties (e.g., assisting with approvals, endorsements, scheduling meetings, office moves, and other ad hoc requests). Qualifications
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, managing survey schedules, supporting participant communications). • Maintain project delegation logs and ensure timely documentation of study activities. • Support preparation of research presentations
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. Administrative support: Coordinating logistics, for example scheduling, communications with participants and collaborators and managing project timelines. Any other duties that may be assigned by the PI from time
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to ethical guidelines according to Institutional Review Board (IRB). Identify, recruit, and schedule participants for the study. Obtain informed and voluntary consent from participants. Provide clear guidance