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an ambitious programme combining collaborative work with health researchers and the development of novel statistical methods to address complex biomedical challenges. About the role The postholder will join the
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properties and structure of zeolite ion-exchange materials using mechanical testing, x-ray diffraction and computed tomography and developing structure-property relationships. Working across the discipline
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postholder will be Director of the CDT programme, until September 2033 in the first instance, as this is the period for which funding from the Ellison Institute of Technology is confirmed. The successful
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September 2025, with an end date of 15th of June 2026. Your skills and attributes for success: A PhD or last year PhD student in Statistics, Operations Research, Computational Sciences or Economics
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This research project aims to establish the theoretical and algorithmic foundations of quantum adversarial machine learning, an emerging field at the intersection of quantum computing and machine learning. It
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at The University of Manchester. What you will get in return: Fantastic market leading Pension scheme Excellent employee health and wellbeing services including an Employee Assistance Programme Exceptional starting
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. Using our modelling frameworks which capture metabolic and gene expression constraints and recently benchmarked computational tools for systems identification and model calibration, you will develop new
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for the development and day-to-day management of the system which will initially use face recognition technology. As such, the candidate will be expected to have excellent software engineering/computational skills as
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, cultural practices and technologies between China and the Mediterranean or any sub-region between the two at any period up to the present day. This Research Fellowship is part of a broader programme, which
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performance computing systems in a way that is suitable for operational use. Implement and test different ML architectures, such as convolutional and encoders-decoder ANNs for predicting flooding in Bihar and