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inversion techniques and signal processing. Strong programming skills, Proficiency in scientific computing (e.g. Python, MATLAB, or similar) for algorithm development and data handling. Experience with sensor
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The Research Fellow will be supervised by Prof. Christopher Quince (Earlham Institute/Norwich UK), Prof. Iain Chapple (Birmingham), Prof. Moritz Kebschull and Prof. Tariq Iqbal (Birmingham). Their role will
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signal processing Extensive research experience and scholarship on radar systems and signal processing, ideally for distributed radar sensors, and general knowledge of the effects of oscillator
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. The post holder will join the Chemistry groups led by Prof. Peter Slater, Professor Paul Anderson, and Dr. Phoebe Allan, https://www.birmingham.ac.uk/staff/profiles/chemistry/anderson-paul.aspx https
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the area of crystallisation-driven self-assembly of polyester-based block polymers. The project will be hosted in the group of Prof. Rachel O’Reilly in the School of Chemistry. The post holder will be
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uses, improving the AI and MRI algorithms, and linking them with information from biological studies on tumour tissue. This project harnesses AI to improve diagnosis and clinical decision-making leading
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algorithmic foundations of quantum adversarial machine learning, an emerging field at the intersection of quantum computing and machine learning. It investigates how the unique capabilities of quantum computing
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engagement workshops, with opportunities for travel to Tanzania. Role Summary Work with the study investigators (Prof. Sam Watson (University of Birmingham), Dr Penelope Hancock (Imperial College London) and
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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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Waite (Aston University) and Dr Jo Moss (University of Surrey). The successful applicant will join Prof Richards’ team: https://www.richardslab.org/ and the cross-institute Cerebra Network: https