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highly motivated, proactive post-doctoral researchers (or researchers currently near PhD completion) to work on the UKRI-funded project Mainstream Song, Class, and Culture 1520–2020, led by Dr Oskar Cox
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candidate will hold a PhD in theoretical or mathematical physics, with knowledge of random matrix theory and/or its applications to theory of disordered/chaotic systems, and with some numerical skills
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. The position requires the candidate meets the academic requirement to register for PhD at Imperial College London. The candidate needs to spend 6-8 months of secondment in consortium partner’s site in Sweden
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an experienced researcher with a PhD in Geography, Sociology, Politics, Anthropology or other cognate disciplines have excellent English-language (along with other languages mentioned in the desirable criteria
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an experienced researcher with a PhD in Geography, Sociology, Politics, Anthropology or other cognate disciplines have excellent English-language (along with other languages mentioned in the desirable criteria
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interdisciplinary research activity, and contribute to grant development aligned with your research interests. Teaching support may be required, up to a maximum of six hours per week. About you You will have a PhD
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maximum of six hours per week. About you You will have a PhD (or near completion) in a relevant discipline (e.g. geography, GIS, data science, public health, or a related field) or equivalent research
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spectroscopic data; publish and disseminate their results. You will have the opportunity to teach. Applicants should have a PhD (or close to completion) in Astronomy/Astrophysics or a related field and ideally a
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a PhD in biophysics, biochemistry, physical chemistry, physics, engineering, or a related area, or have submitted a PhD thesis prior to taking up the appointment. Application Process Applications
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We expect you to have a PhD (or equivalent) degree in mathematics, a strong research background in analysis with emphasis on areas supporting one or several of the research topics above, and motivation