90 parallel-processing-"KTH" Fellowship positions at SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
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to caregiver workload reduction, care-process redesign, adoption planning and care automation support. Support healthcare innovation projects by coordinating user feedback, pilot planning, implementation
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for organisational transition, focusing on but not limited to caregiver workload reduction, care-process redesign, adoption planning and care automation support. Support healthcare innovation projects by coordinating
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Principal Investigator (PI) to ensure all project deliverables are met. Job Requirements A Ph.D./Master’s degree in Computer Engineering, Communications Engineering, Computer Science, or a highly related
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the knowledge within a short time (e.g., 1 month). Have a degree in computer science, computer engineering, electrical engineering or equivalent. Possessing a Master’s or PhD degree will be advantageous
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processes. The role involves aptamer discovery, nanomaterial-based SERS sensor development, and integration with microfluidic systems for real-time monitoring of cleaning validation washout fluids
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areas: Computer Vision and Image Processing Machine Learning, Deep Learning, and Reinforcement Learning Large Language Models (LLMs) and Multimodal Models Generative AI, Agentic AI, Physical AI, and
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assigned by Supervisor. Requirements PhD in Computer Science or related field Expertise in computer vision and vision-language models Experience with ML evaluation metrics and benchmarking Proficiency in
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. Job Requirements: Competence in working with languages such as C along with Python-based coding and AI development. Have a degree in Computer Science/Computer Engineering. Possessing a Master’s or PhD
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development programmes. The fellowship is tenable for one year. On an exception basis, a two-year programme may be supported. Service Commitment One year for every year of sponsorship. Application Process
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-end design processes, from user research and ideation to wireframing, prototyping, and high-fidelity UI design Conduct user research, usability testing, and interviews to uncover insights that inform