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the vision to transform how Chemistry is done and accelerate material discovery. We are looking to recruit a Research Technical Professional (RTP) specialising in Advanced Diffraction Methods to lead the
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equivalent industry experience) in Computer Science/Geographic Information Science or allied discipline with a strong programming component, with awareness of quantitative methods and social science relevant
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pipelines, assessing AI-driven methods, and loading data into the Ensembl/VEuPathDB platforms. The successful candidate will join an interdisciplinary, international team dedicated to making data FAIR
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connectivity of the broader community, training, networking, as well as state-of-the-art research. This post will develop artificial intelligence methods for the prediction of crystal structure, the critical
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to formulate and test hypotheses about how epigenetic factors control the life cycle of parasitic nematode, use transgenic and CRISPR methods to manipulate epigenetic regulators, and test the effects
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teaching methods. Applicants must be able to make a contribution to teaching in criminology and mentoring more broadly across social policy, sociology and social research methods. Subject expertise in race
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on media, politics and society. The post will cover Department¿s teaching in areas which include global news media and war, research methods, and digital media from an audience perspective. The successful
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areas (i) Non-adiabatic chemical dynamics, (ii) Physics of charge transport in the solid state, (iii) QM/MM methods, (iv) Atomistic classical simulations of macromolecules (v) Biophysics. You can write
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understanding of information and cyber security principles (technical expertise not required). -Knowledge of security frameworks and risk assessment methods. -Excellent communication, organisational, and time
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, assisted by the support of the NIHR Research Design Service based within the Department, and excellent research training and support in quantitative and qualitative research methods. We have close links