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The Research Assistant will play a key part in achieving the following objectives: Establishing, building and maintaining a project-specific Knowledge Network to ensure co-learning and co-design of the project
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-on experience in environmental management. Interdisciplinary training in hydrogeology, contaminant transport modeling, and decision-making. Networking & knowledge exchange with leading academic and industry
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such as SHACL (Shapes Constraint Language), the NCT3TA reference model, and standards like HISO 100xx and ISO/IEC 11179-xx. Prior experience with these tools is not required—training will be provided
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individualized course program Training in a wide range of skills including research management, communication, networking, presentations, writing of manuscripts etc. Research exchange to collaborating institution
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—critical capabilities enabling a wide range of robotic applications. As a PhD student, you will receive academic and pedagogical training and become part of a dynamic, international research community and
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should do it — with high assurance. Our project aims to integrate Linear Temporal Logic (LTL) and the Planning Domain Definition Language (PDDL) to build a more expressive and efficient framework
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and/or atom probe tomography Experience in image processing Experience in programming with Python or Matlab is strongly desired Team spirit as well as excellent communication and organizational skills
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This fully-funded PhD studentship, sponsored by the EPSRC Doctoral Landscape Awards (DLA), Cranfield University and Spirent Communications, offers a bursary of £24,000 per annum, covering full
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spoken and written English Our offer A vibrant research community in an open, diverse and international work environment Scientific excellence and extensive professional networking opportunities A
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architectures and principles from Bayesian neural networks and biological sequence models, including large DNA and protein language models. The project also aims to develop a prototype federated learning