286 assistant-professor-computer-"https:" "https:" "https:" "https:" positions in United Kingdom
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Group that is based in the Faculty of Medical Sciences. You can find out more about our research on our dedicated web pages: https://research.ncl.ac.uk/drugdiscovery/ and https://research.ncl.ac.uk
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packaging and access to a range of discounted services including Bupa health insurance Health and well-being services including a leading Employee Assistance Program For more information check out our
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research institute. What you will get in return: A market leading Pension scheme. Excellent employee health and wellbeing services including an Employee Assistance Programme. Exceptional starting annual
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Beijing Normal-Hong Kong Baptist University (BNBU) | London, England | United Kingdom | 3 months ago
8HT Registration https://v.wjx.cn/vm/OuSi9UO.aspx Note: We will contact successful registrants for more details of the event rundown in due course About BNBU Strategically located in the heart
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language technologies, such as: Neural Machine Translation (NMT), LLMs, Computer-Assisted Translation (CAT), Terminology Extraction and Management, Quality Assurance; experience working with professional
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Stem cell biology Whole body physiology Programme management team Programme Director: Prof. Julia Cordero , Professor of Systemic Signalling Biology. The programme is supported by: Professor Joanne
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is recruiting full-time faculty members as Assistant or Associate Professors for its Human Resource Management Department to start from Spring 2026 semester. Job Requirements The successful applicants
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staff position within a Research Infrastructure? No Offer Description About Us We are seeking to appoint a Clinical Reader or Professor of Neonatal Medicine to replace a retiring colleague to help lead a
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expectations and are resilient to climate change. The Research Assistant or Research Fellow based at Brunel will be responsible for microclimate simulations using computational fluid dynamics and dynamic thermal
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Science, or Health Informatics. . A2 Strong knowledge of epidemiological and biostatistical principles applied to healthcare data, with experience integrating these with data-science or AI/ML methods. A3