200 programming-"https:"-"Inserm"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "UCL" research jobs at Nanyang Technological University
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Medical School. In August 2024, we welcomed our first intake of the NTU MBBS programme, that has been recently enhanced to include themes like precision medicine and Artificial Intelligence (AI) in
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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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students involved in the project. To collaborate with industrial and academic partners. To perform any other duties related to the research program. Job Requirements: Preferably PhD in Computer Engineering
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Medical School. In August 2024, we welcomed our first intake of the NTU MBBS programme, that has been recently enhanced to include themes like precision medicine and Artificial Intelligence (AI) in
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. specific programming languages, numeric and analytical skills Competent in soft skills / general personality traits e.g. information visualization, interaction design Interpersonal skill (e.g. Ability
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Medical School. In August 2024, we welcomed our first intake of the NTU MBBS programme, that has been recently enhanced to include themes like precision medicine and Artificial Intelligence (AI) in
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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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Medical School. In August 2024, we welcomed our first intake of the NTU MBBS programme, that has been recently enhanced to include themes like precision medicine and Artificial Intelligence (AI) in
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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