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technologies such as single-cell transcriptomics, cerebral organoids, and advanced imaging to build our understanding of the biological processes behind the earliest stages of neurodegeneration and ageing
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the area of end-to-end modular autonomous driving using computer vison and deep learning methods. This includes developing an efficient and interpretable image processing, vision-based perception and
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submitted but not yet received their PhD and those who are in the process of submitting their PhD thesis (in which case appointment will initially be made at research assistant, Grade 5, and amended
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requirements: PhD degree in Computer Science, Electrical and Electronic Engineering, or related field. At least 3 years of relevant experience in computer vision, artificial intelligence, etc. Proficiency in
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within the Clusters of Excellence ‘Machine Learning for Science’ and ‘Image-Guided and Functionally Instructed Tumor Therapies (iFIT)’. Requirements PhD in Bioinformatics, Computational Biology, or a
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Modern cyber-physical systems (CPS), such as UAVs, next-generation fighter aircraft, and command-and-control (C2) platforms, integrate digital computation with physical processes to make mission
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will be assessed at each stage of the recruitment process. * Please note that this is a PhD level role but candidates who have submitted their thesis and are awaiting award of their PhDs will be
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experiments and computational/bioinformatics analyses. Generate, process, and analyse multimodal datasets including immunohistochemistry, multiplex imaging, and spatial transcriptomics, integrating findings
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sometimes resulting in the need for patients to return for a second surgery for axillary node clearance. Applicants will have a strong first degree and will also have or be close to completing a PhD in any of
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with ultrastructural analysis. Manage, process, and analyze large imaging datasets generated from the project. Assist in mentoring and training PhD and undergraduate students in relevant techniques and