210 cloud-computing-"https:" "https:" "https:" "https:" "https:" "https:" "https:" positions at University of Nottingham in United Kingdom
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programme leading to peer reviewed publications and research funding applications. You must be GMC registered with a license to practice, already have a higher research degree (PhD or MD by research
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. UNNC’s undergraduate programme of Business Administration was launched in 2004 and the doctoral programme in 2009. The subject has been listed among the world’s top academic subjects by Shanghai Ranking
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development (such as 3D modelling, VR, animation or interactive design) with inclusive design and accessibility. This project bridges computer science and social care to deliver a digital health training tool
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systems for data capture with a database backend. You must have the ability to interrogate relational databases and be proficient in writing SQL. You must have the ability to program using PHP and
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Qualifications: PhD awarded within 3 years in business administration, computer science, information systems, data science, biomedical engineering, or a related discipline. Programming & Data Skills: Strong
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feasible – virtual interviews may also held. Please be advised that normally your references will be contacted prior to the interview. For more details and/or to apply on-line please access: https
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datasets, and large-scale statistical studies comparing different methods. The successful candidate will be jointly supervised by: Dr Edward Gillman (https://www.nottingham.ac.uk/physics/people
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centre for management education of the UK’s most successful universities. Further information about the School is available at: http://www.nottingham.ac.uk/business/ Are you looking for a role that
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in promoting talent cultivation and innovation as well as that of UNNC. UNNC’s undergraduate programme of Business Administration was launched in 2004 and the doctoral programme in 2009. The subject
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(both theoretical and applied), Microeconomics (applied micro, labor, health, industrial organization, financial economics) or Applied Econometrics (including causal inference, machine learning, program