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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational
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automation, computational drug design, machine learning, and software engineering. The ideal candidate will contribute to innovative research and the development of advanced computational tools within our lab
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, data science, civil engineering, or a related field, with research expertise in geospatial artificial intelligence, human dynamics, and/or urban informatics. Candidates will need to have completed
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on integrating data science, AI, and GIS with transportation engineering to create sustainable and efficient urban mobility systems. With a strong emphasis on data-driven decision-making, EcoTran Lab is
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publications in high-impact journals and represent the project at international conferences. Manage project milestones and deliverables in accordance with funding agency requirements. Contribute to technology
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within the Australian Genome Foundry. This multifaceted role involves showcasing high throughput biofoundry technology in the engineering and characterisation of membrane transporters. The primary role
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join a multi-disciplinary team within the Australian Genome Foundry. This multifaceted role involves showcasing high throughput biofoundry technology in the engineering and characterisation of membrane
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with optimized engineering methods to prepare biomaterial scaffolds and neural cells for a robust manufacturing and successful transplantation into the body. Job Requirements: PhD in Biological Sciences
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Organisation: Cranfield University Faculty or Department: Faculty of Engineering and Applied Sciences Based at: Cranfield Campus, Cranfield, Bedfordshire Hours of work: 37 hours per week, normally
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programme. To be successful in this role, you will need to demonstrate: A Ph.D. (or equivalent) in physics or engineering, specialising in photonic devices. Substantial and authoritative practical knowledge