31 algorithm-development-"Multiple"-"Prof"-"Prof"-"Simons-Foundation"-"St" Fellowship positions at University of Birmingham
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-edge research in machine learning and automated reasoning for safe algorithmic systems. The Research Fellow will be responsible for developing advanced theory and machine learning algorithms
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-leading database of MRI images of childhood tumours and have developed AI approaches to diagnose different types of tumour. To be useful for patients, this needs to be delivered in hospitals in real time
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holder will play a key role in supporting quantitative data analysis, including the development of statistical analysis plans, and interpretation in a cluster trial setting. There are also opportunities
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project by: Collecting, analysing and critically interpretating data sets from multiple techniques to characterise granular zeolite ion-exchange materials. Designing and developing new in situ synchrotron
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to undertake research in electrochemistry, surface chemistry and bionanotechnology, developing smart peptide interfaces that can be switched ON and OFF electrochemically for real-time protein detection
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, is highly desirable. Research is likely to involve developing a national and international reputation through significant original research work and a clear record of impact, and/or designing and
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. The main role will be to apply and develop new methods of genome wide analysis of transcription dynamics on the single cell level in the complexity of zebrafish larvae and will use genomics technologies
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desirable, as are skills in kinetic analysis and interfacial characterisation. The role provides outstanding opportunities for professional and career development, including mentoring students, running
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to understand health inequalities for people who draw on social care support. The purpose of the role is to develop and deliver high quality research that supports the delivery of the specified project outputs
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programme of research concerned with development of guidance for the evaluation, regulation and marketing of Direct To Consumer Tests, (GUIDE-DTCT), commissioned and funded by Cancer Research UK (PICCTR-2023