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Applications are invited for a Research Assistant or Research Associate to work on efficient machine-learning systems for earth observation. The post holder will be part of the Computer Architecture
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/clinical need proposed by our clinical collaborators. You will be working on genomic, molecular (transcriptomics, proteomic, and metabolomics), and electronic health record data, empowered by and
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molecular conformations, interactions, and enzyme activity. Applicants should hold (or be near completion of) a PhD in a relevant area of biological or physical science and have the ability to independently
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travel. Publish findings in high-impact journals and present at international conferences. Requirements: PhD or equivalent qualifications and experience in Analytical Chemistry, Chemical Engineering
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Revolution Industrialisation Centre at the University of Nottingham and contribute to the Power Electronics, Machines and Drives Research Group (PEMC). Your research will focus on electrical machines, drives
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pending results)* Excellent computer programming abilities evidenced by available code Excellent verbal and written communication skills Ability to work well as an effective member of a multidisciplinary
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knowledge in a way which develops new intellectual understanding Disseminate research findings for publication, research seminars etc Supervise students on research related work and provide guidance to PhD
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practical background is essential and you should have good skills in computer aided design and mechanical fabrication techniques, as well as the ability to critically assess prototype designs based on testing
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. Skills, knowledge, and experience Essential criteria 1. PhD in a research-based field of relevance to EEG and/or autism 2. Knowledge of EEG data processing and analysis. 3. Proven ability
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of the country’s foremost centres for engineering research (ranked 4th in the most recent REF ). You will have access to a range of 3D printing facilities, traditional engineering workshops, electronics workshops