33 postdoc-signal-processing Postdoctoral research jobs at University of London in Uk
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Dr Heli Hietala. The postdoc project involves primarily simulations informed by observations, related data analysis and theory/models, comparing various aspects of shock particle acceleration and meso
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About the Role This is an opportunity to work as part of the team and project “Accelerating charged particles in space” funded by a Royal Society URF led by Dr Heli Hietala. The postdoc project
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group runs preclinical and clinical programmes of work focused on pain mechanisms and therapeutic approaches to treat pain. The Sensory Neurophysiology team have expertise in animal and human pain studies
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the areas: AI, deep neural networks, machine learning, applied topology, probability, statistics, signal processing. About the School The School has an exceptionally strong research presence across
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This is the expected starting salary for this post however appointment at a higher point may be made for candidates who demonstrate exceptional skills and experience relevant to the role. Right
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techniques like Raman spectroscopy, AFM, SEM, XPS, and electrical measurements such as Hall effect, four-point probe, and current-voltage (I-V) testing. A proven track record of high-quality research
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Institute, a pioneering biomedical research institute in London where our wet lab is located. We are also part of Cancer Research UK City of London Centre, which sponsor our high-performance computer cluster
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to our diverse and inclusive community is embedded in our appointments processes. Reasonable adjustments will be made at each stage of the recruitment process for any candidate with a disability. We are
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policies, flexible working arrangements, and campus facilities. Queen Mary’s commitment to our diverse and inclusive community is embedded in our appointments processes. Reasonable adjustments will be made
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to demonstrate effective and efficient multi-tasking and maintain accurate and up-to-date records. In addition, the applicants should have a high level of proficiency with computer software related to laboratory