204 computer-programmer-"https:" "https:" "UNIS" "https:" "https:" "https:" "https:" "UNIV" "Univ" positions at King's College London
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. About you: To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria 1. Bachelor’s or Master’s degree in Computer
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candidate to join the Department of Accounting & Finance. There are presently 160 academic staff and a full range of undergraduate, masters and PhD programmes. About the role: As such we are going through
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About us The Faculty of Natural, Mathematical & Engineering Sciences (NMES) comprises Chemistry, Engineering, Informatics, Mathematics, and Physics – all departments highly rated in research
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the administration of training programmes, and contributing to the ongoing development of controls, procedures and guidance. Working closely with colleagues across multiple cross functional business areas
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qualified in computer science, mathematics, physics or similar disciplines * Demonstrated expertise in artificial intelligence, machine learning, deep learning, and data mining methods and algorithms Proven
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students studying Dental, Medical and Physiotherapy programmes. This is done via tutorial, dissections and other classes. Demonstrators are also involved in the teaching of external groups (e.g. osteopathic
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, upgrade and test desktop computers (both Windows and Mac), peripherals and a range of software Ability to work under pressure, prioritise own workload and meet challenging deadlines Proactive to anticipate
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of a thriving law school. The successful candidate’s principal teaching contribution will be in our undergraduate and postgraduate programmes, in Private Law subjects with an emphasis on the Law of
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international partners and maintains strong links with rheumatology and primary care services throughout the NHS. We have an active programme of patient and public involvement, which informs all stages of our
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. The broader goal of the overall programme, funded through the Wellcome Trust bioimaging technology development initiative, is to deliver multimodal datasets in an interoperable manner through open access