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research for an STFC funded project entitled Bridging the Efficiency Gap of Metal vs Carbon Back Electrode Perovskite Solar Cells. The primary duties will be to optimise different functional layers and
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in the Unit, including i) using AI to strengthen epidemic preparedness, ii) the development of models evaluating how the combination of different surveillance systems (e.g. syndromic and virologic
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Hub. Accountabilities Cleaning, manipulating, and analysing longitudinal quantitative data from various datasets, including survey, accelerometer and GPS, and EMA data from different project sites
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Full-Time, Fixed-Term (36 months) Salary is £41,945 to £48,003 pro-rata per annum (including London Allowance) We are looking for a highly motivated early career researcher with a PhD (or near
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closely with key members of the Centre to support and enhance the postgraduate research culture. Skills and Experience Essential A PhD in Law or related field (or evidence of close completion) Expertise in
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differently, when a certain level of adaptation has been reached – namely when a certain level of non-economic losses and damages avoidance has been secured – a community may decide that funding is better spent
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Carbon Capture System Design, Operation, and Test The ideal candidate should have all or several of the following academic and personal qualifications: A PhD in chemical engineering, process engineering
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integration methods for the different data types. In terms of applications, the candidate will be free to choose their own case study(s). Additionally, close collaboration with other group members is expected
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, ECCV, ICML, NeurIPS, and ICLR annually. Additionally, contribute to teaching the CAP6411 course. Minimum Qualifications: PhD in Computer Science or another related field Preferred Qualifications
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communication skills, and lab skills; are motivated for coaching BSc/MSc thesis students, and working together with internal/external partners from different backgrounds. In our international working environment