188 coding-"https:"-"FEMTO-ST"-"L2CM"-"CSIC"-"P" "https:" "https:" "https:" "https:" "https:" Postdoctoral positions in United Kingdom
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University pages on the application process at https://www.jobs.ox.ac.uk/application-process The closing date for applications is 12:00 midday on 25 March 2026 It is anticipated that interviews will take place
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using Matlab code to estimate the appropriate channel parameters in various wave bands for the design of radio systems. Collect the data and analyse it and relate it to weather data for prediction models
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undergoing significant growth with substantial investment in new appointments, research infrastructure and laboratory space refurbishment. Further details are available at www.kcl.ac.uk/nmes and http
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, Future Energy Systems and Advanced Materials, Electronics and Communications) and eight Research Nodes which group staff under technical expertise and interest (see https://www.durham.ac.uk/departments
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Institute. For more information, please visit our Department pages at: https://www.dur.ac.uk/departments/academic/anthropology The Role Applications are invited for a Postdoctoral Research Associate in
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of Salivary Cortisone Test (Re-SCAIT) study (funded by NIHR Health & Care Services Delivery Research (HSDR) https://fundingawards.nihr.ac.uk/award/NIHR174395 ) will evaluate the implementation and uptake
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information: Interviews are planned for 16th of March 2026. For further information and details of how to apply, please visit our website http://jobs.jic.ac.uk or contact the Human Resources team on 01603
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undergoing significant growth with substantial investment in new appointments, research infrastructure and laboratory space refurbishment. Further details are available at www.kcl.ac.uk/nmes and http
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each of the selection criteria found in the job description, and why you would like to do this role. See guidance at https://www.jobs.ox.ac.uk/cv-and-supporting-statement. Any technical questions
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flagship (https://fcai.fi ) and the ELLIS Institute Finland (https://www.ellisinstitute.fi ), part of the pan-European AI network of excellence (https://ellis.eu/members ). Significant high-performance