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array of proteins involved in numerous cellular processes. This complexity can make it challenging to pinpoint disease-relevant changes. By narrowing the focus to the presynaptic proteome, we can reduce
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with peer scientists from cross-functional teams to analyse and interpret large complex datasets and communicate findings, and promoting the Oxford-GSK IMCM locally and nationally and disseminating
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work on large-scale analysis of complex traits, including Bayesian machine learning and linear mixed model approaches for trait prediction and association in high-dimensional genomic datasets, as
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demonstrated ability to analyse and interpret complex multidimensional data. You will have experience of working with biomedical datasets, such as cancer data and/or spatial data, and experience of programming
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demonstrated ability to analyse and interpret complex multidimensional data. Experience of programming in Python, or demonstrated ability to rapidly acquire fluent knowledge of new programming languages
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velocities can reach relativistic values in the tail of the momentum distribution. Understanding how these relativistic electrons are transported through the plasma is a complex multi-scale problem
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Postdoctoral Researcher Data Scientist. You will play an important role in the contribution of statistical analysis and new models of analysis of complex data sets. You will be responsible for providing analysis
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molecular mechanisms underlying biological processes and – if not experience – ardent interest in structural virology. Experience with several eukaryotic expression systems, complex protein chemistry, and
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be involved with the development of biochemical and/or biophysical assays for the characterization of protein ligand complexes. Experience in crystallography and protein-ligand complexes is essential
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requires experience in single-molecule imaging biophysics and expertise in at least two of the following: nanopore technology, optical microscopy, machine learning, mass spectrometry, complex optical set-up