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, digital pathology, whole-slide image analysis, self-supervised learning, foundation models, multiple-instance learning or high-performance computing is an advantage. Prior knowledge of pathology or breast
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Fixed-term contract: 12 months. What do we offer? We offer a dynamic and inspiring environment with excellent support for experimental work and analysis, and great opportunities for collaboration
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technologies. You will work at the interface of data science, imaging technology and biomedical research, developing analysis strategies for complex real-world datasets ranging from preclinical experiments
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with neurological disorders, yet its effects on everyday movement remain poorly understood. In this PhD project, you will combine cutting-edge physiological measurements, motion analysis and wearable
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neuroimaging research and clinical neuroscience is necessary. The project relies on advanced neuroimaging and data analysis, including MRI/fMRI processing and analysis, functional connectivity methods
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analysis to explore how nerve cells and support cells interact in health and disease. You’ll model a key ALS feature seen in most patients and use high-resolution single-cell techniques and drug screening
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, applied physics, or a closely related subject. You should enjoy building things and be prepared to work across mechanics, materials and electronics. Experience with microfabrication, finite element analysis
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of disruptive behaviour disorders as a mental health issue and can accurately identify/diagnose these disorders, and analysis of longitudinal cohort data to examine mental health trajectories in children and
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integrates molecular biology, glycomics, and biochemical analysis to understand influenza attachment and tropism. We are a collaborative group that values complementary expertise and interdisciplinary training.
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relaxations of the underlying PDE constraints can effectively reduce the nonlinearity of the inverse problem. Understanding this requires mathematical analysis of the PDEs and the resulting inverse problems, as