22 parallel-programming Fellowship positions at SINGAPORE INSTITUTE OF TECHNOLOGY (SIT) in United Kingdom
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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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certification programs. Possess industrial certifications in relevant areas will be an added advantage.
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breakwaters that integrate wave energy converters (WECs) and, tidal energy systems. Optimize design configurations to maximize energy harnessing and wave attenuation. 5. Experimental Testing Plan and conduct
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Requirements Bachelor’s degree or above in Electrical Engineering, Computer Engineering, or a related field from a recognised university. Strong programming skills in MATLAB/Simulink, Python, C/C++, or similar
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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
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members to ensure all project deliverables are met.• Undertake these responsibilities in the project: i. Lead and support high quality publications to disseminate the applied research outcomes. ii. Plan
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that are relevant to industry demands while working on research projects in SIT. This role supports the Future Ship and System Design (FSSD) Programme, which aims to accelerate the decarbonisation and digitalisation
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the R&D Team Knowledge in skid module base and PLCs programming will be highly preferred Possess good Solid-works skillset and/or ASPEN HYSYS/3D simulations expertise Sound knowledge in applying AI