83 postdoc-image-processing Fellowship positions at SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
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, fabrication data, inspection results and carbon footprint information. Develop, train and validate AI models to automate QA/QC processes, enabling real-time verification, anomaly detection and consistency
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processing of sequencing data, including sequence quality control and taxonomic profiling where required. Support aptamer discovery and validation experiments, including nucleic acid preparation, amplification
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students, the role will co-create impactful, practical, and commercially viable solutions that address critical healthcare challenges in Singapore, such as (but not limited to) automating processes, AI
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Regulations. Work independently, as well as within a team, to ensure proper operation and maintenance of equipment. Job Requirements A good degree in Computer Science / Engineering, preferably with a relevant
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into clear, human-centred narratives that spark curiosity, accelerate understanding, and inspire action. Key Responsibilities Lead end-to-end design processes, from user research and ideation to wireframing
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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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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