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as part of a team. Have a strong written and oral command of the English language. Application Process To apply for this position, please combine the following documents in 1 PDF and attach it under
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processing would be an advantage. Proficiency in statistical software (e.g., R, Python, SAS, or Stata). Experience with clinical informatics approaches (e.g., cluster analysis, machine learning, Bayesian
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aspects of computational modelling, brain-computer interface technologies as well as within NUS focusing on design and application from the lens of landscape architecture. Key Responsibilities: Assist
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PyTorch or TensorFlow, is highly advantageous. Experience in developing and deploying machine learning models, particularly in natural language processing (NLP) and large language models (LLMs), including
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optimizing fabrication and testing processes for new devices. Qualifications PhD degree in Electrical Engineering, Materials Science, Mechanical Engineering, Biomedical Engineering, or a related field with
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external collaborators and manage data-sharing protocols. Work independently, as well as within a team, to ensure proper operation and maintenance of equipment. Job Requirements Master/PhD in Naval
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. • Excellent research support provided by the School and NUS. Application Procedure: Interested applicants are invited to send the following list of documents via the NUS Career Portal. • Cover letter
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-sharing protocols. • Work independently, as well as within a team, to ensure proper operation and maintenance of equipment. Job Requirements PhD or Master degree in a related field with a focus on coastal
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. Qualifications Experience writing/using computer code Experience supervising postgraduate students and/or staff Experience presenting research findings at national and international conferences, seminars, and
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. Qualifications Experience writing/using computer code Experience supervising postgraduate students and/or staff Experience presenting research findings at national and international conferences, seminars, and