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. Strong programming skills in Python, with proficiency in deep learning frameworks such as PyTorch, TensorFlow, or JAX.. We regret that only shortlisted candidates will be notified. Hiring Institution: NTU
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candidates should plan to start work by July 2026. Applicants must read the Selection Criteria carefully and address each of the points stated. Incomplete applications will not be evaluated. Roles
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Employee Category: Research Staff Location_ONB: Outram Campus Posting Start Date: 31/10/2025 Job Description The Signature Research Programme in Health Services and Systems Research is looking for candidates
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: Research Staff Location_ONB: Outram Campus Posting Start Date: 06/10/2025 Job Description The Signature Research Programme in Emerging Infectious Diseases (EID) aims to pioneer the development and discovery
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, Data Science, or related fields (PhD candidates nearing completion will also be considered). Proficiency in R programming language for statistical modeling and data analysis. Strong organisational skills
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mindset and a strong commitment to building proficiency in areas such as interpersonal communication, cultural sensitivity, student support and advising, operational planning and programme assessment
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, effectiveness, cost-effectiveness, environmental impact of the intervention. This role offers a unique opportunity to gain hands-on experience in program evaluation, field-based public health research, and cross
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characterization (SEM, TEM, XPS, FTIR, etc.) Programming skills (Python, MATLAB, or similar) Exposure to machine learning methods (e.g., Bayesian optimization, active learning) is an advantage Understanding
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. Build and maintain a strong donor pipeline through prospect research and qualification. Programme and Campaign Management Lead class, alumni, and commencement giving initiatives in support of the School’s
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also work closely with the Principal Investigators to help supervise and train junior lab members and to ensure smooth functioning of an active research program. The candidate will have the opportunity