32 programming-"https:" "https:" "https:" "https:" "https:" "Data driven Materials Modeling" research jobs at SINGAPORE INSTITUTE OF TECHNOLOGY (SIT) in United Kingdom
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outcomes. Plan, coordinate, and manage day-to-day operations, including developing annual roadmaps and workplans. Monitor project progress, budgets, milestones, and KPIs, and prepare regular updates and
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problems. Demonstrate proficiency to keep abreast of developments in the field and pursue professional certification programs. Possession of industrial certifications in relevant areas will be an added
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environment. Demonstrate proficiency to keep abreast of development in the field and pursue professional certification programs. Possess industrial certifications in relevant areas will be an added advantage
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-oriented researcher who is committed to producing careful, high-quality technical work. The primary responsibility of this role is to plan and execute field measurements and analytical investigations of lift
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application programming interfaces (APIs), through rigorous simulations and proof-of-concept (PoC) trials. This position is ideal for a researcher with a passion for solving complex problems at the intersection
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Plan and execute experimental workflows to achieve project milestones. Lead prototype development and performance optimization of the SERS biosensor system. Communicate research outcomes through
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, optimisation and design tools for high-efficiency, low-carbon composite building systems Plan and conduct experimental work, including but not limited to: i. Material and component testing ii. Structural
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such as PCR, gel electrophoresis, DNA purification, and nucleic acid quantification. Maintain accurate laboratory records and experimental documentation. Research & Project Responsibilities Plan and execute
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Python or other equivalent programming languages. Strong foundation in data analytics and data-driven modelling. Able to build and maintain strong working relationships with people within and external
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Computer Science, Artificial Intelligence, Software Engineering, or a related field. Strong programming proficiency in Python and/or C++. Demonstrable experience with machine learning frameworks (e.g., PyTorch