1,526 data-"https:" "https:" "https:" "https:" "https:" "https:" "Eindhoven University of Technology (TU" research jobs in United Kingdom
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project. The project is part of a large collaborative research effort involving Imperial College London, University of Bristol and three other groups at Cambridge. More information about the overarching
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Measures Sub Study (DMSS). This individual will provide technical assistance, manage the study database, analyse gait/physical activity data, process DMOs and publish key findings from the study. The DMSS
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are currently under-represented at this grade. Appointments will always be made based on skills and experience aligned with the job description. For further information, please visit: http
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recruitment portal (https://www.ucl.ac.uk/work-at-ucl/search-ucl-jobs ) and search using vacancy reference B02-10051. To apply, please upload a current CV, complete the online application form, and use
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are also open to discussing flexible working arrangements. For more information on Peninsula Medical School please visit our dedicated webpage at: https://www.plymouth.ac.uk/schools The successful candidate
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organisational and time-management Strong communications skills as this post will be dealing with a wide range of colleagues For further information about this position and to apply, visit http://jobs.sgul.ac.uk
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to the CASC Fellowship Application System (FAS) at the following link: https://app.casc.cam.ac.uk/fas_live/ccnsecrf/ Informal enquiries should be addressed to Dr Daria Frank (Secretary to the Research
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use the information provided on our website to self-assess whether the University is likely to be able to support a visa application - http://go.qub.ac.uk/internationalstaffsupport Candidate Information
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per year (pro-rata). Where to apply Website https://www.timeshighereducation.com/unijobs/listing/407560/face-lab-postdoctor… Requirements Additional Information Work Location(s) Number of offers
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ERC funded project on the human gut-brain axis (https://cordis.europa.eu/project/id/865568 ). The ideal candidate will have strong expertise in data analysis related to gut microbiota and metabolite