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Prof Anuj Srivastava (Florida) and their teams. The project concerns methods for the statistical modelling of shapes changing in time, and involves mathematical and statistical techniques from
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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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application of comprehensive polar metabolite analysis methods. Scientists are encouraged to apply if they have substantial practical experience in the development of comprehensive quantitative methods
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to someone proactive and ambitious who has obtained their PhD and has begun an academic career in epidemiology, pharmacoepidemiology, or medical statistics, with a focus on causal inference methods applied
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shortlisted for interview and need any support, equipment or adjustments to enable you to participate in any element of the selection process, please contact bioscienceshradmin@sheffield.ac.uk Our vision and
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,(or close to completion) in a relevant discipline together with experience in LC-MS/MS proteomics. You will have experience in advanced biochemical methods for surface proteomics/subcellular
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available data and apply causal inference methods, including Mendelian randomisation, to identify candidate mechanisms linking circadian misalignment and sleep disturbances with cardiometabolic disease
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The Faculty of Life Sciences & Medicine is one of the largest and most successful centres for research and education in the UK. The Faculty was created as a result of the merger of elements
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. The research will be primarily qualitative, using multiple methods aimed at the development and evaluation of scalable solutions. There will also be opportunities to work with colleagues involved in
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biology, microbiology or biochemistry Experience in Archaea research, including genomics and CRISPR-Cas systems Proactive and eager to learn new methods and topics Strong collaborative attitude in the lab