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supervision of Asst Prof Meng Xin from the Department of Civil and Environmental Engineering. This position is part of an exciting research programme aimed at advancing the multi-robotic wire-arc directed
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biology, analytical chemistry, evolution, and data science. The workplace offers access to state-of-the-art core facilities for advanced microscopy and cytometry, cell and molecular biology, extracellular
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+ 17% superannuation About the opportunity This position offers an opportunity to join a dynamic research team focused on multisectoral food systems policy and public health. Our research programme is
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ability to purchase additional leave; flexible working arrangements to help manage your work-life balance; ongoing learning and development opportunities to grow your career; an inclusive and supportive
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members of the research team to meet the overall aims of a work package which is focused on developing and implementing a knowledge and evaluation framework. They will assist with leading on key tasks in
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salts and ionic liquid by collaborating with a growing research team while conducting their own investigations. The role holder will have the opportunity to contribute to the development of funding
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. This project involves the development and application of interpretable machine learning methods to uncover allosteric regulation of disordered regions in the dynamics of G-protein coupled receptors to enable
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research, the FSTM seeks to generate and disseminate knowledge and train new generations of responsible citizens in order to better understand, explain and advance society and environment we live in
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for hypervisors, operating system kernels, and virtual ECUs, contributing to secure and reliable automotive software systems. Key Responsibilities: Design and develop advanced fuzzing frameworks for automotive
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funded grant applications to ensure robust trial commencement. This will include working with the Chief Investigator and co-applicants to develop a protocol and related trial documentation, ensuring