90 data-science-phd "The University of Auckland" positions at Queen's University Belfast in United Kingdom
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We are seeking a visionary leader to join our Advanced Manufacturing Innovation Centre (AMIC) executive team at Queen’s University Belfast as our Chief Technology Officer (CTO). This role has a
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The School of Mechanical and Aerospace Engineering at Queen’s University Belfast is seeking to appoint a Lecturer in Engineering Management. Applicants should have expertise in engineering
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(DP2) programme. The applicant will initially lead on projects building a UK-wide linked cohort of patients with asthma using data from UK Trusted Research Environments – this work will be piloted in
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, Physics, Mathematics, Business, Economics or closely related subject. Hold, or be in the process of completing, a PhD in a relevant area. Demonstrable experience of teaching in a higher education setting
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-active ‘can do’ approach to their work and professional development. The role You will work as an Apprentice Computer Assistant. You will be required to complete a two-year training programme that will
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global challenges. Our vision is for Queen’s to be recognised as an innovative and sustainable sectoral leader and our Innovation Centres include major programmes in Engineering, Deep Tech and Health
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that you meet the following criteria: Have or about to obtain a PhD in a relevant area (submission within six months of closing date of recruitment exercise). PhD should be in Computer Science, Engineering
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demonstrate that you meet the following criteria: Have, or be about to obtain, a PhD in Electronics, Electrical Engineering, or closely related discipline. At least 3 years research experience in wireless
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related discipline. Obtained, or be about to obtain, a relevant PhD in Mechanical, Aerospace, Automotive Engineering, Computer Science, Business Management or closely related discipline. (Candidates about
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about to obtain a relevant PhD in computer science or computer engineering. Substantial recent relevant research experience to include: Undertaking research into approaches for energy-efficient computing