169 computer-programmer-"https:"-"Inserm" "https:" "https:" "https:" "https:" "https:" "https:" "P" positions at King's College London
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(e.g. data science, computer science, AI/NLP)* Experience in Data Science techniques, especially data analysis and prediction modelling, evidenced by publications and/or dissertation, or equivalent
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or hybrid environments Good understanding of Student application architecture including familiarisation with SQL, .net, Windows server o/s, virtualization, cloud computing, systems and data security issues
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studies Proficiency in cell culture and differentiation Experience with iPSCs Knowledge of PCR, RT-qPCR and other molecular biology techniques Proficient in computer use Understanding of the day-to-day
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computational mechanics of advanced alloys/materials through understanding microstructure and the effects of manufacturing and service conditions on performance. These are full-time posts, and you will be offered
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or research management capacity 2. Knowledge of NIHR and of collaborative research programmes underpinned by relevant practical experience. 3. Project management skills gained
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the following skills and experience: Essential criteria 1. Bachelor’s degree, or equivalent experience, in Computer Science, Software Engineering, Information Technology, or a related field. 2
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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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an indefinite contract. About you: To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria 1. Degree in Computer
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based in the Department of Informatics within the Faculty of Natural, Mathematical & Engineering Sciences (NMES), an internationally recognised centre for research in robotics, artificial intelligence
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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