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, This opportunity allows a postdoctoral researcher to work on an industrially facing project, applying artificial intelligence (AI) methods to better inform processing to obtain high-quality engineering polymers from
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bioinformatics. The role will be responsible for developing and characterising human dorsal root ganglia cultures to benchmark the newly developed iPSC derived organoid model systems. This will include processing
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of multiple medicines across cellular mechanisms in parallel, ensuring accelerated assessment of existing and new therapies. Improving our understanding of the cellular basis of disease will help bridge the gap
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bioinformatics. The role will be responsible for developing and characterising human dorsal root ganglia cultures to benchmark the newly developed iPSC derived organoid model systems. This will include processing
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emerging from this work will be correlated on a regular basis with parallel activities on materials synthesis and spectroscopic characterization. The goal of this project is to understand and predict
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biochemical work with proteins and DNA will be highly rated in the selection process. The ideal candidate will have recently obtained a PhD in physics, biophysics, biochemistry, physical chemistry, engineering
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soft matter, with expertise in microscopy, optical imaging, and data analysis. Experience in building and working with optical traps will be highly rated in the selection process. The project also
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and surface chemistry. The successful candidates will focus on understanding and designing the ALD growth process at a fundamental level, while also investigating the optical properties, catalytic
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Cycle loan scheme Discounted bus travel and Season Ticket travel loans. Application Process You will be required to upload a covering letter with a supporting statement, CV and the details of two referees
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We invite applications for a Postdoctoral Research Associate (PDRA) to join the Process Dynamics group in the Department of Materials at the University of Oxford (www.materials.ox.ac.uk). You will