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associated with the running of the project and the requirements of our funders. It is essential that you have a PhD in computer science, or equivalent professional qualifications and experience; ideally your
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Position as PhD Research Fellow in formal methods for data protection in digital twins is available at the Department of Informatics. Starting date no later than December 1, 2025. The fellowship period is
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be based in the deep Earth research group within the School of Earth and Environment at the University of Leeds and work closely with Professors Phil Livermore and Chris Davies , collaborating with
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the School of Computer Science) will contribute his expertise in artificial intelligence, while Prof. Lorrie Cranor (Director and Bosch Distinguished Professor in Security and Privacy Technologies of the CyLab
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Research Fellow available in Machine Learning is available in the Department of Informatics and the Norwegian Centre of Excellence Integreat . Starting date as soon as possible and upon individual agreement
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Machine Learning is available in the Department of Informatics and the Norwegian Centre of Excellence Integreat . Starting date as soon as possible and upon individual agreement. The fellowship period is
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crossing the disciplines of computational mechanics and biomedical engineering? Do you have an interest in developing computational models to investigate the lubrication of natural joints? Do you want
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approach. You’re confident working independently while building positive relationships. About the role Reporting to the Professor of the Learning Sciences, you will contribute to UniSA Education Futures
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qualitative interviewing in the field of cancer prevention and will contribute to national work on stratified bowel cancer screening. Through expertise within an associated Cancer Research UK programme grant
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to the PhD position must have a Master’s degree (120 ECTS) equivalent higher education qualifications in computer science, AI, cybernetics, bioinformatics, or related fields. The degree must be accomplished