39 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "Ulster University" positions at University of Liverpool in United Kingdom
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will realise a programme of work to automate a number of legal processes and build tools involving AI technologies related to Machine Learning, Natural Language Processing, Neurosymbolic Computing and
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Applications are invited from highly experienced health care practitioners with experience in clinical teaching and learning. Reporting to the Deputy Director of Clinical Skills, you will join a
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taught-class environments and help facilitate hands-on learning experiences for students. You will bring with you a BTEC National Level (or equivalent) qualification in a relevant subject, together
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Studies or practice experience in a bioscience lab or biobank research. Informal enquiries please contact Sue Holden (LUB Manager), email: suki@liverpool.ac.uk for all enquires. The posts are available
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/September 2026 start, 1 post for February 2027 start)¿ will primarily undertake small group teaching of student doctors in years 1 and 2 of the MBChB curriculum, including case-based learning and teaching of
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with the technical and academic staff to enhance the learning experience for year 1-3 veterinary students in these subject areas. You will have responsibility for supporting clinical skills teaching by
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to contribute to teaching and learning in popular undergraduate subjects is essential. An interest in postgraduate teaching would also be welcome. Applicants able to make a contribution to the student
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abilities, and good organisational skills. A commitment to reproducible, well-documented analysis is crucial. Experience with omics analysis is desirable but not essential for those eager to learn. The role
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You will deliver the learning and engagement offer at Ness Botanic Gardens, including but not limited to: school groups, family activities, school holiday offers, family trials. You will be
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quantitative subject Be excited about the opportunity to work with a non-academic partner (Adfree Cities) to bring about real-world impact of their research Be comfortable using and learning about quantitative