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Field
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period at 0.2 FTE. About you PhD in law or criminology, or a related discipline with demonstrated experience in conducting empirical research (please disregard the educational qualification requirement
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reticulum is cleared by a pathway known as "ER-phagy", yet it remains unclear how ER-phagy dysregulation contributes to cancer progression. Using image-based siRNA screens, we have identified novel regulators
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for medical imaging, precision medicine, statistical genomics, graphical models, and the analysis and integration of complex, high-dimensional biomedical data. The fellow will be expected to develop novel
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scalable way. This project aims to solve this by combining different kinds of data - structural, functional, and causal - into a single AI-centred computer model. We focus on the larval zebrafish, a small
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a new computational paradigm that combines the versatility of the digital computer with the efficiency of close-to-physics computing. The group targets the full computational stack, from materials
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marine vehicle systems for marine survey. We also explore tools for the visualisation, clustering and classification of extensive marine-based image archives, characterisation of change in multi-year
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areas include the development and implementation of advanced AI techniques for image-guided radiation therapy, including image reconstruction, enhancement, synthesis, segmentation, and registration, as
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, Qualifications & Requirements: Required Qualifications The ideal candidate will hold a PhD in the field of psychology, neuroscience, computer or data science, physics, or physiology with brain imaging experience
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have submitted their PhD thesis. Applications within three years of obtaining a doctorate will be considered. In duly justified cases, applications falling outside this criterium may also be considered
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field high-speed microscopic imaging Experience with control and synchronization of high-speed imaging and lighting systems Experience with image post-processing and data extraction Personal