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funding. You will be responsible for the development of novel acquisition, reconstruction, image analysis and/or modelling methods for cerebrovascular magnetic resonance imaging (MRI) to improve
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excited state properties of new complex semiconductors and develop new computational frameworks and workflows to achieve improved predictive power and efficient analysis. The post-holder will have the
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of code to conduct complex comparative genomics, implement HMM searching strategies and conduct phylogenetic analysis on a grand scale while making use of sophisticated phylogenetic methods (for example
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Academy of Engineering Green Future Fellowship, the postholder will design and integrate automated experimental workflows and data pipelines to accelerate the discovery and optimisation of OPV devices
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Academy of Engineering Green Future Fellowship, the postholder will design and integrate automated experimental workflows and data pipelines to accelerate the discovery and optimisation of OPV devices
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in bioinformatics approaches such as single-cell or spatial transcriptomics, tumour cell atlas analysis, immunological profiling, or ctDNA/metabolomic analysis. You should be comfortable managing your
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lie, and how they can be strengthened. This role sits at the intersection of analysis and influence. You will examine the ecological, social and economic consequences of policy choices, explore how
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bioinformatic analysis will be provided within the Oxford Medical Sciences Department. About you You must be an enthusiastic and motivated laboratory scientist, showing initiative and ability to work
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spectroscopy methods (Operando XPS/XAS, Hard XPS) to probe the interfacial reactions occurring in Li-ion batteries. Further information about the research group can be found at: https://emi.materials.ox.ac.uk
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experience of working with healthcare data. Informal enquiries may be addressed to Prof Alison Noble (email: alison.noble@eng.ox.ac.uk). Only online applications received before midday on 22 May 2026 can be