14 postdoctoral-image-processing-in-computer-science PhD positions at University of Cambridge; in Uk
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Fixed-term: The funds for this post are available for 2 years in the first instance. The Department of Computer Science and Technology is an academic department that encompasses computer science
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Systems, or a related field. Strong analytical and critical thinking skills. Strong machine learning (ML), computer vision (CV), large language models (LLM) for quantitative data, texts, images, and sensor
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for an individual with a keen interest in cell biology to investigate the molecular mechanisms of Wnt signal transduction pathways and how these are disrupted in disease. The successful candidate will receive expert
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Institute, with close ties to the Department of Computer Science and Technology. Preferred skills/knowledge We are seeking a passionate and collaborative PhD student with a strong background in machine
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machine learning. The position will involve working with different research groups in the Department of Computer Science at the University of Cambridge, UK. In this collaborative project, we will apply
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High Performance Computing facility, where the current code is implemented. The candidate will, among other activities, extend the model to treat different management interventions, peat growth and decay
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of Human, Social and Political Science. BSPP has an ambitious growth plan including launching an M.Phil in Digital Policy alongside an expanded M.Phil in Public Policy, and the development of a new PhD
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applicant must have (or be close to obtaining) a relevant PhD in Fluid Mechanics from an Engineering, Mathematics or Physics Department, a strong background in theoretical and computational fluid mechanics
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: Functional genomics and psychiatric epidemiology Clinical informatics and data harmonisation Co-production and participatory research methods Working within a cutting-edge UK-wide data infrastructure
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ligases, (2) characterise the molecular features that enable selective substrate recognition, and (3) explore how these processes are corrupted in the context of viral infection and autoimmune disease. We