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for each of the studentships and scholarship available in the Faculty. Nationality restrictions This funding is available to all nationalities. Application procedure Visit our funding opportunities
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We are seeking a highly motivated and experienced Research Associate to join an established research team examining how people process and interpret data visualisations. Data visualisations
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information that is processed through a machine learning element. The role will also require regular contributions to a variety of academic tasks, including positively interacting and communicating with
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learning techniques, we will be able to transcribe these lost texts in full and, in the process, reconstruct the original manuscript. We shall study Gesius’ works in the context of medicine in late antique
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using machine learning techniques. You will be responsible for the evaluation of energy consumption for industrial data reconciliation and preparation of process scheduling models, quantification
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and software solutions for NXCT users. Working as part of a team, including with internal and external colleagues, you will oversee the operation and maintenance of the NXCT facilities, both hardware
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, which is a type of skin cancer, however many of the processes we observe may have pan-cancer relevance. We are particularly interested in liver metastases and the role they have in generating both local
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delivery of a wide range of activities that align with the network’s strategic objectives. You will manage governance processes, facilitate key meetings, and report to senior stakeholders, while also
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system, including a suitable camera and an embedded system, will enable real-time acquisition of images of the tube carriage, from the side of the carriage, and subsequent image processing algorithms
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–200) desirable, as well as experience in TEM/STEM image processing and simulation using open-source Python packages such as atomic simulation environment (ASE) and abTEM. A willingness to occasionally