493 data "https:" "https:" "https:" "https:" "Dr" "L2CM" Postdoctoral positions in United Kingdom
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collaborators at DU ES and the industrial partner WLL. Experience conducting quantitative research including fracture data collection, management, and analysis is essential. Excellent initiative, flexibility in
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approaches to reducing HFSS consumption influence UPF intake. You will conduct quantitative analysis of existing data to explore the equity and effectiveness of diverse population interventions on UPF
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essential attributes include advanced skills in optical and electronic instrument development, strong background in optical spectroscopy and materials/device characterisation. Experience in data acquisition
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Right to work: Applications from job seekers who require sponsorship to work in the UK are welcome and will be considered alongside all other applications. For further information visit the UK Visas
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Contact information for at least 2 referees (can be added in the CV) Please apply via our job portal / Apply now button If you have any questions, please contact: Frank Melzner frank.melzner@univie.ac.at We
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We are seeking a Senior Researcher to join a joint research programme between the Big Data Institute (BDI) in the Nuffield Department of Population Health and the Centre for Human Genetics in
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relevant PhD/DPhil or be near completion, together with relevant experience in the field. Informal enquiries may be addressed to Prof Natalia Ares (email: natalia.ares@eng.ox.ac.uk) For more information
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information and advice to other group members and contribute to the preparation of scientific reports and journal articles. You will also occasionally present papers and posters. About You • You must hold PhD
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and to view further information about the role, please click 'Apply' above. Please notice that if you have not received any news from us 1 month after the closing date you should consider
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modelling of the impact of precipitation on mm wave fixed radio links from the high-end weather station installed at Durham University and measurement data. The successful candidate will be working in