453 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Bournemouth University" Postdoctoral research jobs in United Kingdom
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for optical imaging. Experience and interest in data analysis and the ability to perform basic biochemical work with proteins and DNA will be highly rated in the selection process. The ideal candidate will hold
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of applying them to data. Collaborative endeavours with members of the IPMU and Oxford groups is highly encouraged. You will have the opportunity to teach. Applicants should have a PhD (or close to completion
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further information about the role, please click 'Apply' above. Informal enquiries are welcomed and should be directed to the Director of the Ax:Son Johnson Centre for the Study of Classical Architecture
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be addressed to Dr Christian Schroeder de Witt (christian.schroeder@eng.ox.ac.uk) For more information about working at the Department, see www.eng.ox.ac.uk/about/work-with-us/ Only online applications
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health problems so we can support them fully during our recruitment process and make any necessary reasonable adjustments. Any information disclosed will be kept confidential and separate from the job
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of internationally excellent research at the intersection of Space Innovation, Business, and Governance. For more information, please visit our Department pages at - Durham University Business School. This post is
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of chromosomal mutations in bacteria; isolation of proteins expressed at native levels; proteomics and the analysis of proteomics data; high throughput genomic methods; the investigation of protein transport
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: Computational materials modeling: DFT, molecular dynamics, phase-field modeling, or multiscale simulations. Data-driven materials discovery: ML models for property prediction, materials design, or synthesis
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in candidate multilayered data storage media. The post will include measurement of novel multilayered magnetic materials by a variety of optical measurement techniques. This will include wide field
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“Data-driven design of organic mixed conductors”. Mixed ionic/electronic conducting materials are being developed for applications in bioelectronics, biosensing, energy storage and neuromorphic computing