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About the Role Applications are sought for a Postdoctoral Research Assistant to undertake research investigations in collaboration with and under the supervision of Dr Özgen Deniz to realise the objectives and development of the research programme on the Oncogenic and Immunogenic Roles of...
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on transplant using multimodal medical data. You will be responsible for literature review, data cleaning, model development and implementation. You should possess a relevant PhD (or near completion) in
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peer-reviewed grants, including from the British Heart Foundation, Medical Research Council and British Society for Heart Failure, as well as investigator-initiated commercial funding. We are seeking a
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development of open-source tools for the hearing healthcare community. About you You should have a PhD in computer science, biomedical engineering, or a related field with strong expertise in medical image
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on transplant using multimodal medical data. You will be responsible for literature review, data cleaning, model development and implementation. You should possess a relevant PhD (or near completion) in
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to useful implementation. We have pathways to take new medical devices and techniques through to pre-clinical testing and early in-human testing, with full support for regulatory approval, to perform patient
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engineering, computer science or other field relevant to the proposed area of research. You should have a good track record of robotic publications/presentations in the field of healthcare, possess sufficient
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The Opportunity: We are seeking a Postdoctoral Research Associate in Computational Cancer Genomics to join our team at the University of Edinburgh, funded by a Medical Research Council. This is a
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The post holder will develop computational models of learning processes in cortical networks. The research will employ mathematical modelling and computer simulation to identify synaptic plasticity rules which enable effective learning in large and deep networks and is consistent with biological...
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You will have a PhD in Computer Science or a related discipline or will have obtained it by commencement of the position. Successful candidates will have experience of model training methodologies