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models using frameworks such as PyTorch and TensorFlow. Research experience in medical image analysis using deep learning algorithms. Strong track record in machine learning, computer vision, and medical
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. Collaborate with a multidisciplinary team to ensure seamless operation of perception and control systems. Conduct experiments in real-world and simulated environments, with a focus on high-speed performance
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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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and maintenance of equipment. Job Requirements Have relevant competence in the areas of science and engineering Have a degree in STEM discipline. Possessing a Master’s or PhD degree will be advantageous
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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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, Immunostaining Assisting and handling mice work such as animal husbandry, live ophthalmic imaging, dissection, and processing of mice eye tissues Contributing to the writing and presentation of project updates
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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