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About the Role The Oxford Applied and Theoretical Machine Learning group at the Department of Computer Science is looking for a entrepreneurial Programme Manager to help run the group, in a very
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Are you passionate about teaching babies, children and adults to swim? Are you looking for a new opportunity to contribute towards the development of a Learn to Swim programme? The University
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The London School of Hygiene & Tropical Medicine (LSHTM) is one of the world’s leading public health universities. This is an exciting opportunity for an experienced educational developer to play a
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team to develop a demonstration scale low pressure membrane system in collaboration with Atera Water Pte Ltd. Key Responsibilities Applicants are invited for a Research Engineer in low pressure membrane
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of the Department. The research activities of the department fall under eight broad headings, though there is much overlap in practice: Information Engineering (Robotics, Computer Vision and Machine Learning
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individual with the appropriate disciplinary experience for the post of Lecturer in Computational Engineering, who are interested in developing an independent world-leading research group with an aim
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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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Agri-Food and Biosciences Institute (AFBI); | Belfast, Northern Ireland | United Kingdom | about 1 month ago
LOCATION: AFBI NEWFORGE, 18A NEWFORGE LANE, BELFAST, BT9 5PX, HOWEVER, THEY MAY, ON OCCASION, ALSO BE EXPECTED TO WORK AT OTHER SITES IN NORTHERN IRELAND AS REQUIRED. Further permanent appointments may be made from this competition should AFBI positions become vacant which have similar duties...
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Lancaster University Information Systems Services (ISS) department is looking for a Senior Developer to join the Enterprise Operations team on a Fixed Term Contract. The contract will be 6 months duration
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processes). You will be proficient in Python and relevant data engineering libraries and familiar with cloud computing or HPC environments. It is essential you have a good understanding of FAIR data