65 evolution-"https:"-"https:"-"https:"-"Multiple" positions at SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
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technical specialist with 10 or more years of working experience in Automation, Robotics, Autonomous Systems, or related areas in development would be preferred. Experience in following areas is highly
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production, oral processing characterization and conduct of surveys. The position requires a strong background in food chemistry, food product development, colloidal science, sensory science as well as survey
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build and maintain strong working relationships with people within and external to the university. Self-directed learner who believes in continuous learning and development Proficient in technical writing
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background in food science, product development, and research methodologies. This role involves working collaboratively with cross-functional teams to develop new food products, improve existing ones, and
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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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Job Purpose The Professional Officers Division (POD) houses two Innovation Centres – Rapid Product Innovation and Development (RaPID) Centre and SIT-Poly Innovation Centre of Excellence (SPICE
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candidate will work on algorithm development for contact-rich robotic manipulation, integrating perception, planning, and control within a real-world robotic system. Job Responsibilities： Develop, implement
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Interaction (HCI) and social science methodologies to lead the user research and policy development, as part of an interdisciplinary team investigating harmful user-generated content in virtual worlds as part
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inference. The role will bridge rigorous theoretical work with hands-on algorithm design and development on real-world datasets. The core responsibility is to build and validate federated causal inference
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collaboration with hospital partners. Key Responsibilities: Model Development: Design, train, and fine-tune ASR and TTS models to achieve high accuracy and personalization across diverse speech patterns and