569 programming-"https:" "https:" "https:" "https:" "https:" "Data driven Materials Modeling" research jobs in Singapore
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programming skills (Python, R, or equivalent). Familiarity with machine learning frameworks (e.g., PyTorch, TensorFlow). Experience with statistical analysis and data visualization. Ability to work
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discipline. Sufficient experience and knowledge in finance. Expertise in computer programming Good knowledge and experience on Software Engineering is a plus. Excellent teamwork and verbal, written
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. Qualifications The proposed project extensively involves mathematical modelling, computer programming, numerical simulation and experimental investigation of two-phase flows. It requires researchers to have PhD
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The National University of Singapore invites applications for a Research Assistant position in the Synthetic Biology Translational Research Programme, Yong Loo Lin School of Medicine, under
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crop growth and/or plant growth, as well as relevant plant biophysical and biochemical traits. Familiarity with the land carbon cycle. 3. Proficiency in at least one programming language, such as MATLAB
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track record in attracting research grant funding Extensive experience in leading the design of research programs Experience of supervision of PhD / Masters / Undergraduate students Experience in teaching
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. The Postdoctoral Fellows are given the opportunity to participate in a broad range of interdisciplinary activities and programs that characterize NTU’s approach to research and education. The fellow in this research
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of polymers (PBF-LB/P) 3D printing. The role involves robot arm programming, path planning, and printing parameter optimisation to fabricate large-scale, complex, high-performance structures for industries
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delivery of Research Division events, including timelines, logistics, and on-site support Liaise with faculty members, speakers, and other stakeholders to confirm programme details and event requirements
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. The project is part of a larger interdisciplinary research program aimed at developing a better understanding of how aging beliefs and mortality expectations may influence retirement decision-making among