317 data-"https:"-"https:"-"https:"-"https:"-"https:" Postdoctoral positions in United Kingdom
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three Research Pillars to generate hypotheses and data to underpin subsequent grant applications and high-profile publications. In this role you will lead on the delivery of the assigned CoRE research
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experiments in the wet lab and fly lab and collect data. You will have opportunities to develop your technical skills (microscopy, data collection & analysis), supporting an interdisciplinary team
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also have experience of structural biology methods, in particular cryogenic electron microscopy and data processing. Enthusiasm for working in a laboratory environment, a pro-active determination to
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responsibility will be to prepare data, figures, and text for publication and to communicate the interim and final findings of the research at collaborator workshops and international science meetings. This is a
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.� The role-holder will be expected to carry out their own research projects using bioinformatics approaches to define host/pathogen interactions at the molecular level and to use that information to build
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, aerosols, and their interactions, utilising satellite-based remote sensing. Potential areas of emphasis include cloud tracking and the analysis of data from the innovative EarthCARE satellite mission in
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) Cell Reports. doi: 10.1016/j.celrep.2025.115263 Informal enquiries to Professor Mike Weekes: mpw1001@cam.ac.uk To apply online for this vacancy and to view further information about the role, please
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also have experience of structural biology methods, in particular cryogenic electron microscopy and data processing. Enthusiasm for working in a laboratory environment, a pro-active determination to
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the molecular structural dynamics and embedded chiral information in redox-active polycyclic aromatic hydrocarbons influence the emergence of novel photoluminescent properties. While the majority of objectives
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team dedicated to advancing data-driven approaches to historical, linguistic, and cultural research. This post is part of the 5-year project Computational Corpus Annotation for Quantitative Analysis