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an outstanding record of promoting the public understanding of mathematics in diverse ways. Candidates should hold a PhD or equivalent and be able to demonstrate a strong record in research in
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teams, developing ideas and analysis collaboratively with other team members, and attending project meetings. Applicants should possess a PhD in health economics or a related discipline and be able
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of innovative research. To qualify, applicants should currently be in the process of either completing their PhDs and/or have received their PhD after May 1, 2023. Fellows must have completed their doctoral
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into the DMC operations and address the needs of the department in relation to metabolic and nutrient sensing circuits in physiological conditions. Applicants must have a PhD in Neuroscience, Psychology
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contract of 9 months is offered with the possibility of an extension. Essential requirement 1: candidates must have (or be about to obtain) a PhD in materials science, chemistry, or chemical engineering
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-holder will benefit from world-class research facilities, the collegial environment of the Institute and the wider scientific research community in the Cambridge area. The ideal candidate will hold a PhD
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candidate will have a PhD in a strongly quantitative discipline, but applications from candidates close to submitting their PhD are also welcome. Familiarity with deep learning methodologies is essential, as
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candidate will have a PhD in a strongly quantitative discipline, but applications from candidates close to submitting their PhD are also welcome. Familiarity with deep learning methodologies is essential, as
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October 2024 until 1 July 2025, and are non-renewable. Current PhD students should give their PhD Supervisor as their first referee. Fixed-term: The funds for this post are available for 9 months in
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in quantitative/computational methods. Applicants must have (or be about to obtain) a PhD in Social Sciences with a strong quantitative component, or in the border Network Science field including