40 tracking-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
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) Ian McLoughlin, Co-PI Tong Rong and the research team members to ensure all project deliverables are met. Undertake research within your domain, including keeping track of state-of-the-art work. Develop
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a closely related discipline. Strong track record in Aerospace MRO, aerospace systems, or related applied research/industry practice At least 7 years of relevant industry experience, preferably in a
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discipline. A strong theoretical foundation and research background in wireless communications and edge computing. Strong publication track record in top-tier conferences and journals in the areas of wireless
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automation in food manufacturing - smart sensors, digital twins, and AI-driven food quality control and processing; Food safety - supply chain tracking/monitoring, blockchain Biotechnology: Host strain
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or competency-based education a track record in translational research, practice-led scholarship, or industry-linked innovation for candidates at the levels of Associate Professor / Professor, the ability to lead
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, ensuring delivery on time and within budget. Manage budgets, procurement, and reporting for internal and external initiatives, with a strong track record of on-time and on-budget performance. Oversee daily
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professional certifications or recognised practice credentials experience with applied or competency-based education a track record in translational research, practice-led scholarship, or industry-linked
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highly encouraged. Proven track record in research and development of machine learning algorithms. Proficiency in algorithm development using Python and ML frameworks such as PyTorch or TensorFlow. Key
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the criteria below: (a) an earned PhD in the respective healthcare discipline from a reputable university; (b) excellent research track record; (c) deep clinical experience in the respective healthcare
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ingredients); AI & automation in food manufacturing - smart sensors, digital twins, and AI-driven food quality control and processing; Food safety - supply chain tracking/monitoring, blockchain Biotechnology