87 computer-science-quantum-"https:"-"https:"-"https:"-"https:"-"https:" positions at Cranfield University
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of technology to underpin and evidence the apprentices learning and support the journey towards successful apprenticeship completion. About You You will have sound knowledge of data protection regulations and be
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covers fees and stipend for a home (UK) student with funding provided by the Leverhulme Trust through the Connected Waters Leverhulme Doctoral Programme. Options exist for PhD and Master + PhD routes
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sampled. This PhD study will address this research challenge. Cranfield is the largest academic centre for postgraduate studies in Science and Technology in the UK. Focused on developing applied research to
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strengths and interests (e.g. geospatial data science or socio-environmental modelling). Funding Sponsored by the Leverhulme Trust and Cranfield University, this Connected Waters Leverhulme Doctoral programme
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Platform-based solutions and lead projects that drive efficiency, enhance user experience, and contribute to the University’s wider transformation programme. About You You will have a degree in IT or
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projects that drive efficiency, enhance user experience, and contribute to the University’s wider transformation programme. About You You will hold a degree in IT or equivalent experience and a strong track
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in an increasingly volatile landscape and this PhD programme offers students the opportunity to study the strategic, organisational, and policy challenges facing defence and security institutions. It
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. Whether working independently or supporting others, you are passionate about using technology to solve problems, streamline operations, and build capability across the organisation. About Us As a specialist
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Organisation Cranfield University Faculty or Department Faculty of Engineering and Applied Sciences Based at Cranfield Campus, Cranfield, Bedfordshire Hours of work 37 hours per week, normally
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, environmental science, urban sustainability, geospatial analysis, or quantitative modelling. We particularly welcome applicants who are excited about integrating ecological understanding with data-driven methods