72 parallel-and-distributed-computing-"UNIS" positions at Cranfield University in United Kingdom
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should have an equivalent of a 1st or 2:1 UK honours degree or MSc degree (Distinction/Merit) in engineering, computer science, or other closely related fields. Experience with ROS and proficient
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would suit candidates with a sound background in engineering, computer science, or related disciplines. Funding This is a self funded opportunity. Find out more about fees here. Diversity and Inclusion
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and grow with us. This role will lead to the successful completion of an apprenticeship development programme leading to a Level 3 Multi-Channel Marketer Apprenticeship. About You We are looking
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together and realise their full potential. We are a Disability Confident Employer and proud members of the Stonewall Diversity Champions Programme. We are committed to actively exploring flexible working
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for knowledge exchange activities with a particular focus on Knowledge Transfer Partnerships (KTPS; long established UK-wide programme ). The postholder will be responsible for supporting the post-award
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access to cutting-edge computational tools and interdisciplinary collaboration. This is a self-funded PhD, open to both UK and international students, offering the opportunity to lead an ambitious project
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the Researchers Core Development programme alongside PhD students, together with access to the University Doctoral Core Research Methods Training (DCRMT) Programme courses, as well as a tailored programme of
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Organisation Cranfield Conference Centre Limited Faculty or Department Cranfield Conference Centre Ltd Based at Cranfield Campus, Cranfield, Bedfordshire Join an exceptional team at Cranfield Conference Centre Ltd! We are looking for a genuine person with warmth and enthusiasm, who will bring a...
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the safe adoption of hydrogen in aerospace materials through advanced experimental and computational modelling. You'll join a diverse, multidisciplinary team committed to equity, diversity, and inclusion
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This PhD project offers a unique opportunity to delve into the complexities of free-market systems and sustainability through a novel ensemble prediction model. With a focus on addressing uncertainty and limited data availability, this research aims to revolutionize decision-making in...