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safety of tumour resections. A key application is the resection of High-Grade Gliomas in neurosurgery. Hold a PhD in Computer Vision, AI, Image Guided Interventions, or a closely related discipline, or
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Group Leader and Professor AI in Biology - Dept of Computer Science and Dept. Electrical Engineering
spatial multi-omics data; AI-based modeling of protein structure and protein interaction networks; AI-based modeling of cell morphology and tissue function using imaging and computer vision; AI models
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from the salary. The employment period is 3 years. For employment as a PhD Candidate, it is a prerequisite that you gain admission to the PhD programme in Engineering within three months of your
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. The successful candidate will be enrolled in INN’s PhD program in Applied Ecology and Biotechnology, with a specialisation in Forestry. The PhD program helps address local and global problems concerning
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), hippocampal representations (Dombeck, Northwestern) and computational modelling (Clopath, Imperial College). The team science approach will require individuals who think creatively and flourish in collaborative
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integrating expertise in neuromodulators and synaptic physiology (Mellor, Bristol), hippocampal representations (Dombeck, Northwestern) and computational modelling (Clopath, Imperial College). The team science
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8th October 2026 Languages English English English The Department of Computer Science has a vacancy for a PhD Candidate in Empirical Software Engineering Apply for this job See advertisement This is
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, focused ion beam specimen preparation, and computer vision or machine-learning analysis of microscopy datasets. The position requires strong experimental, analytical, written, oral, and interpersonal
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at the intersection of computer vision, micro-electronics analysis, and hardware security, and will work under the supervision of researchers within the Department of Intelligent Systems. The PhD researcher will be
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to an obtained doctoral degree. We have a vacancy for a PhD Candidate in Databases and Search group for developing efficient search engines at the Department of Computer Science. The position is funded by