650 programming-"https:"-"Inserm"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "UCL" positions at Nanyang Technological University
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), information science, or related fields. Prior experience and proficiency in working with large language models including programming, evaluating, and benchmarking, evaluating. Demonstrated skills in quantitative
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, ANGEL creates and deploys impactful green digital technologies for global sustainability. ANGEL’s mission aligns seamlessly with Singapore’s national objectives, such as the Singapore Green Plan 2030 and
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Ph.D. students) programme We are looking for someone to manage research projects to support higher education research and development for the CTLP under InsPIRE. Key Responsibilities Oversee and drive
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-assisted development and agentic coding are welcome to apply. Proven expertise in data mapping, transformation, and scripting/programming languages for data migration initiatives. Strong knowledge of API
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to ensure effective communication and coordination. General Administration Support Plan and coordinate visits for distinguished international guests both internal and external, ensuring exceptional
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security awareness programs for IT support staff and manage security governance efforts. Assist IT teams in security compliance with the IT systems and hardware. Conduct and review the accounts, privileged
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Conceptualise studies and develop research designs Plan, execute, and manage research projects end-to-end Analyse data and synthesize findings Disseminate research through publications, presentations, and
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, documentation, and presentations) - essential for data analysis and communication with stakeholders Proficiency in hard skills, such as programming (Python, C++), machine learning frameworks (PyTorch, TensorFlow
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Proficiency in scientific programming and simulation tools (e.g., Python, MATLAB) Proven ability to conduct independent research, publish high-quality work, and collaborate effectively Strong written and oral
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programming skills in Python and familiarity with AI/ML frameworks. Good understanding of LLM architectures, transformer models, and machine learning fundamentals. Experience with model serving / inference