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): Essential: PhD (or equivalent experience) in Computer vision or a closely related discipline Significant postdoctoral research experience in cardiac image analysis Knowledge and experience (will be assessed
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Autonomous Scalable Knowledge Extraction and Decision Making for Complex Systems and Dynamic Environments Department of Automatic Control and Systems Engineering PhD Research Project Self Funded
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to manage the operation and maintenance of the facilities pre-clinical magnetic resonance imaging (MRI) systems. As well as developing new MRI methods as necessary to effectively deliver projects and expand
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. Candidates must have a strong research track record. Experience with in-vivo imaging, rodent behaviour and analysis of complex datasets will be highly valued. The selection process will be a panel interview
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you It is essential that you hold a PhD/DPhil in a relevant subject, e.g. biomedical sciences, biomedical imaging, radiopharmacy. Have extensive experience of PET/SPECT/CT imaging techniques and
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. The Computational Cardiac Imaging Group works at the intersection of clinical imaging, bioinformatics, computer vision and molecular cardiology to explore the mechanisms underlying heart function. The group uses
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homeostasis and disease with a focus on skin and the melanocyte lineage. We use live imaging of cells and tissues and biosensors of cellular processes such as cell cycle progression combined with mathematical
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-induced antibody responses. You will conduct detailed analysis of multi-modal single-cell data and other next generation sequencing and imaging datasets generated – using analysis to identify, define and
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homeostasis and disease with a focus on skin and the melanocyte lineage. We use live imaging of cells and tissues and biosensors of cellular processes such as cell cycle progression combined with mathematical
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Deep Learning based Controllable Animation Department of Computer Science PhD Research Project Directly Funded Students Worldwide Dr Zhixiang Chen, Prof Jungong Han Application Deadline: 14 June