230 evolution "https:" "https:" "https:" "https:" "https:" "https:" "Newcastle University" research jobs at Nanyang Technological University in Singapore
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Materials, Bioinspired Materials and Sustainable Materials. We are looking for a Research Fellow to undertake the responsibilities towards the development of new adhesives and conductive polymers. Key
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to provide academic guidance and career development, while maintaining full independence in their own research. This three-year appointment offers early-career scholars the opportunity to establish themselves
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focus on translational Research, Development & Deployment which focus on specific area of the energy value chain, and a number of Living labs and Testbeds which facilitate large scale technology
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maritime transport, maritime decarbonisation and digitalisation, methodology development and applications Publish findings in top peer-reviewed journals and conference proceedings Collaborate with other
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driving impactful research translation. Key Responsibilities: Undertake research and development necessary to achieve the goals of the research project in pinching antennas and NTU’s responsibilities
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contribute to the overall development of the team and project. Additional responsibilities include supporting team operations and taking on related tasks as needed. Job Requirements: Preferably PhD in computer
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focus on the design, development and evaluation of such tools. Key Responsibilities: Lead research into Real-world Deepfake Detection, Image Forgery Detection & Localization, and Multimedia Forensics
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to provide academic guidance and career development, while maintaining full independence in their own research. This three-year appointment offers early-career scholars the opportunity to establish themselves
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for the development of Performing literature review and background study on collaborative AI Apply knowledge on foundation models to optimize training and inference processes Conduct experiments to compare with
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for the development of Performing literature review and background study on multi-modal AI safety Apply knowledge on large multi-modal models to optimize training and inference processes Conduct experiments to compare