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focuses on a host of Interdisciplinary Research Programs, Flagship Programs, Consortium Platform and an Accelerator Programme that covers the energy value chain from generation to innovative end-use
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experiments to evaluate proposed safety interventions and quantify their impacts. Job Requirements: PhD degree in transportation engineering or related field Expertise in data analytics and computer programming
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their impacts. Job Requirements: PhD degree in transportation engineering or related field At least four years of post-doctoral research experience Expertise in data analytics and computer programming Knowledge
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strategic research development, programme-level integration, synthesis, dissemination, and collaboration activities. This role offers an exciting opportunity to contribute to centre-wide research outputs
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Conference Publications as the first author Expertise in deep learning, multimodal LLMs, and Vision-Language-Action models. Strong programming skills in Python, with significant experience in PyTorch. Hands
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, machine learning, and deep learning Good written and oral communication skills Experience in leading research projects Proficiency in basics of programming languages such as Python Self-Motivated and takes
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communication skills Proficiency in scientific programming e.g., C, C++, Python etc. Competent in teamwork and presenting results in informative visuals Interpersonal skill: Ability to work under pressure, Ability to
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projects focused on the design, synthesis, and applications of nanomaterials, battery materials and nuclear power material. Programme and manage research activities, including experimental design, data
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(SingFarm)—a CREATE-NRF programme focused on building a sustainable, data-driven food production model with strong industry relevance to contribute Singapore’s ambition in achieving 20 per cent local
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(SingFarm)—a CREATE-NRF programme focused on building a sustainable, data-driven food production model with strong industry relevance to contribute Singapore’s ambition in achieving 20 per cent local