369 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL" PhD positions in United Kingdom
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Dalton Building at Manchester Metropolitan University. You will develop skills in computational experimentation, financial data analytics, and systemic risk modelling, with extensive opportunities
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and rigorous assessment design, the integration of digital and information systems perspectives where appropriate, and meaningful student support. The postholder will also contribute to programme
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Candidates are required to undertake two secondments abroad, one academic and one non-academic, of between two and six months duration For further information on eligibility criteria and on Marie Skłodowska
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-academic, of between two and six months duration For further information on eligibility criteria and on Marie Skłodowska-Curie Actions Doctoral Networks in general, please refer to: Doctoral Networks - Marie
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remain in aligning how physical HcI is delivered using OSC and how healthcare systems manage their supply chains. This project will develop an interdisciplinary, data-driven framework to quantify and
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of the candidate Essential: First or upper second class BSc honours degree in a relevant degree such as sport and exercise science, human physiology, data science Experience of working with patients with long-term
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/position/type of hardware. Cranfield overview and Sponsor Information/Background: We have a long history in space systems, having undertaken space studies since the 1960s. Our current research has
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study: search for the ‘Course Title’ using the programme code:8209F Select ‘PhD Water Infrastructure & Resilience (WIRe)' as the programme of study You will then need to provide the following information
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’ using the programme code: 8209F Select ‘PhD Water Infrastructure & Resilience (WIRe)' as the programme of study You will then need to provide the following information in the ‘Further Questions’ section
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Distinction at postgraduate level) and experience conducting research with human volunteers. Experience with quantitative data analysis or experience with coding/programming is desirable, as is knowledge