237 algorithm-"Multiple"-"U"-"Simons-Foundation" "Prof" Fellowship positions in United Kingdom
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, the latest facilities and access to a variety of staff development opportunities. You are invited to contact Professor Bakr Bahaj (a.s.bahaj@soton.ac.uk ) or Prof Patrick James (paj1@soton.ac.uk ) for further
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to deliver defibrillators. Collecting and analysing qualitative and/or quantitative data across multiple work packages. Working closely with 999 call handlers, drone operators, public contributors, and
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relevant theoretical and critical perspectives (e.g. actor-network theory, assemblages, processual ontologies, regulation and governance). This project benefits from proximity to Prof Tomczak's international
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letter describing your interest in the role Names and contact details of three referees Informal enquiries to Dr Hazel Wilkinson, Deputy Director IDAI, email: h.j.wilkinson@bham.ac.uk or, Prof Slava
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/c-eenrg at the Department of Land Economy, University of Cambridge, in the David Attenborough Building. The Fellow will work with Principal Investigator Prof. Laura Diaz Anadon, Chaired Professor
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10 minutes and machine learning algorithms to deliver quantitative diagnosis without destroying the samples. The AF-Raman prototype will be integrated and tested in the operating theatre
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the supervision of Prof Amedeo Chiribiri within the Department of Cardiovascular Imaging, School of Biomedical Engineering & Imaging Sciences, King’s College London. About The Role Applicants should be medically
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tethered to an autonomous ground vehicle. Multiple vehicles operating together will create high resolution maps of emissions and airflow, at unprecedented spatial resolutions. The project will be carried out
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Scientist Dr. Andrew Liebhold and prof. Tomáš Hlasny in the Faculty of Forestry and Wood Science, Czech University of Life Science. Position Qualifications: Previous experience working with insect invasions
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evaluation of real-world simulations testing the use of drones to deliver defibrillators. Collecting and analysing qualitative and/or quantitative data across multiple work packages. Working closely with 999