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Field
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and interpret experimental data using statistical and algorithmic methods. Track record of publications in peer-reviewed journals or conference proceedings. Demonstrated ability to work independently
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data from the UK using robust causal inference methods. Based in London at the London School of Hygiene & Tropical Medicine, the post-holder will be embedded within the Electronic Health Records Research
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using an atmospheric solids analysis probe system). An understanding of numerical data analysis (including chemometric techniques) will be an advantage as will experience of writing scientific reports
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annotation of these metabolomes using multistage fragmentation (MSⁿ) data, incorporating novel computational methods and strategies (e.g. spectral matching, network-based approaches, machine learning) where
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data from the UK using robust causal inference methods. Based in London at the London School of Hygiene & Tropical Medicine, the post-holder will be embedded within the Electronic Health Records Research
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methods, signal processing techniques, and comparison with alternative detection technologies. ii. Support design and development of NQR prototype, including system architecture, component selection, and
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and the development of innovative design concepts, maximizing material properties and sustainable manufacturing methods. Qualifications: Strong background in aircraft design. Proficiency in Python
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or engineering and be able to demonstrate sufficient knowledge in the discipline and of research methods and techniques to work within established research programmes. For Fellow: Applicants will possess a
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adaptations of current aircraft designs and the development of innovative design concepts, maximizing material properties and sustainable manufacturing methods. Qualifications: Strong background in aircraft
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Duties and Responsibilities Designing, planning and conducting a programme of investigation, in consultation with Dr Simon Walker; Generating independent and original research ideas and methods in insect