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, together with relevant knowledge in normal and malignant hematopoiesis research, including in vivo models. Experience generating single cell genomics data, previous experience of contributing to high-impact
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learning, at the intersection of reinforcement learning, deep learning and computer vision, in order to train effective robotic agents in simulation. You should hold a relevant PhD/DPhil (or near completion
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and malignant haematopoiesis research. Experience generating single cell genomics data, previous experience of contributing to high-impact publications/presentations and the ability to manage your own
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: keith.channon@cardiov.ox.ac.uk For more information about working at the Department, see https://www.rdm.ox.ac.uk/ Only online applications received before midday on June 26th will be considered. You will be
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to Prof. Dong (Lilly) Liu (email: dong.liu@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 received before midday on 4th
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the necessary data. They will also assist with training and data collection involving the geo-QDM in non-MMESSH related projects. They will write and publish any relevant scientific research papers on geo-QDM and
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will test hypotheses and analyse scientific data from a variety of sources, reviewing and refining working hypotheses as appropriate, develop ideas for generating research income, and present detailed
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recruitment and clinical assessment activities and helping design the neurofeedback protocol, including monitoring data quality for clinical interviews, data collection of online databases of self-report
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protocols as well as contribute ideas for new research projects. Additionally, you will test hypotheses and analyse scientific data from a variety of sources, reviewing and refining working hypotheses as
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samples. The postholder will use datasets from a large NIH-funded project based in the US to develop methods for jointly analysing dMRI and PS-OCT data. The post holder will be expected to take an