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Singapore’s AI-for-Science ecosystem. Key Responsibilities: The candidate is expected to conduct the following research works Develop and implement the "AI+Physics" discrepancy modeling framework to predict
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the research and support team that conducts clinical trials and manages day-to-day operations. Key Responsibilities Clinical Trial Innovation and Excellence Development of innovative clinical trial
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, teaching, and student engagement in AI-for-Science courses and seminars. - Support the development and deployment of AI-driven tools for High-Performance Computing (HPC) applications. Qualifications
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Propose and develop state-of-the-art methods to overcome existing problems. Train and evaluate the models and systemically compare them with recent models. Prepare papers and reports. Develop systems based
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(NUS), jointly supported by the Monetary Authority of Singapore (MAS) and NUS. SGFIN aspires to develop deep research capabilities in sustainable and green finance, provide thought leadership in
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to stressors in fish. The aim will be to integrate technology to develop the knowledge base for understanding stress resilience behaviours in Asian Seabass in farm conditions using laboratory model zebrafish and
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imaging) and development of novel imaging techniques (nuclear and molecular imaging, computational imaging, etc). With the formation of the National University Health System (NUHS), both clinical and
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for hypervisors, operating system kernels, and virtual ECUs, contributing to secure and reliable automotive software systems. Key Responsibilities: Design and develop advanced fuzzing frameworks for automotive
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hydro-thermal conditions. Key Responsibilities: Design, develop, and set up experimental systems for novel fracturing and faulting modeling Conduct advanced numerical modeling and inversion studies
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Description We are seeking a highly motivated and talented Research Fellow to join our team in the development of rechargeable batteries using computational design. As part of this project, you will play a key