34 algorithm-development-"Multiple"-"Simons-Foundation"-"Prof"-"University-of-Southampton" 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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algorithmic foundations of quantum adversarial machine learning, an emerging field at the intersection of quantum computing and machine learning. It investigates how the unique capabilities of quantum computing
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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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inversion techniques and signal processing. Strong programming skills, Proficiency in scientific computing (e.g. Python, MATLAB, or similar) for algorithm development and data handling. Experience with sensor
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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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. 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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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
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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