747 computer-security "https:" "https:" "https:" "https:" "https:" "UCL" positions at National University of Singapore
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Executive to join our Standardised Patients (SP) programme. This role is essential in ensuring the seamless orchestration of SP engagements across multiple faculties including Medicine, Nursing, Dentistry
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. Maintain MR Safety of all procedures happening at scanner site. Responsible for good housekeeping of the procedure rooms and work areas. To run regular quality assurance checks on scanner. To work with
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Computational Fluids Dynamics (CFD); • Well informed and knowledgeable in urban climate modelling; • Experienced in using environmental simulation tools, such as UrbanMicroclimateFoam, OpenFOAM, WRF/PALM or other
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stakeholders, and communicating renewal outcomes to scholars • Administer scholarship-related benefits and reimbursements (travel grants, overseas programme support, allowances) as per scholarship terms
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PhD in Health Economics, Programme Evaluation, Public Health, Environmental Sciences, or an equivalent field. Strong track record in applied health economic analysis (e.g. cost-effectiveness, budget
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programme impact. Qualifications Education: A reputable university degree. Experience: At least 7 years in adult instructional design, demonstrating proven expertise in technical subjects and corporate
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for training Coordinate safety training and card access to labs Manage exit administration on end of training, termination of access to labs, etc I-FIM Internship Coordination and Management Coordinate
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Job Description Apply now Job Title: Technical Lead, Automation & Intelligence Systems Posting Start Date: 17/09/2025 Job Description Please apply here for this position. (Only applications submitted through this link will be processed.) About the Role We are building the Enterprise...
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datasets for model training. Requirements Preferably major in Computer Science, Artificial Intelligence, Mathematics, Quantitative Finance, or a similar discipline. Strong proficiency in Python and
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, computational biology, data science). Strong programming skills (R preferred) Statistical competence (Bayesian is advantageous) Please email the PI at ephdbsl@nus.edu.sg for further details and to arrange