189 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UNIV" "UNIV" positions at University of Manchester
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data collection, demonstrate understanding of the informal caregiving landscape and applied qualitative research methods. Knowledge of cancer caregiving is desirable. The successful applicant will work
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that combines novel skill sets within biomechanics, bionanomaterials, robotics, and cancer biology. Snail locomotion and actuation strategies will be investigated via computer simulations and studies of live
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. Neuromorphic sensing, e.g. astronomical imaging (https://www.optera.au/) Software verification tools for space robotics. Electric Propulsion & Space Debris mitigation The University actively fosters a culture of
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an interdisciplinary, Pushing the Frontiers grant funded by the Natural Environment Research Council, involving data and models for microbial communities both assembling in the field and constructed in the laboratory
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: recruitmentservices.people@manchester.ac.uk Technical support: https://jobseekersupport.jobtrain.co.uk/support/home This vacancy will close for applications at midnight on the closing date. Please see the link below
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considered for this project. Application form Closing date 14 March 2022 Decision date May 2022 Additional information ¿Multi-criteria Automatic Algorithm Configuration under Streaming Problem Instances
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About the Role: Want your research skills to directly improve how pain medicines are prescribed for millions of people? This is your chance to turn big data into safer care. We are seeking a
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enquiries: Email: recruitmentservices.people@manchester.ac.uk Technical support: https://jobseekersupport.jobtrain.co.uk/support/home This vacancy will close for applications at midnight on the closing date
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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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properties. (For further information about the research group see webpage www.catenane.net). The successful applicant should have, or be working towards, a PhD in organic chemistry in the area of artificial