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highly complex workflows. We aim to develop optimization models and algorithms to improve wafer processing sequences across semiconductor manufacturing tools, with the objectives of reducing cycle times
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methods to ultimately let dermatologists continually update multi-modal machine learning models. Our research objectives are to 1) develop novel model editing methods for multi-modal models, with a focus on
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Post-doctoral Researcher in Multimodal Foundation Models for Brain Cancer & Neuro-degenerative Disea
images, including Positron Emission Tomography, temporal multi-modal MRI and Histology, which we use for models training and validation. Objectives A key research focus of our group is the optimization
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multi-agent pathfinding (MAPF) algorithms - Experience across multiple areas is a strong plus; Experience developing ML-based optimization approaches is a strong plus; A strong publication track record is
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Investigator on the Wellcome Synthetic Human Genome (SynHG) project, for which research will be conducted at GBI in Oxford. The aim of the five-year multi-centre project (supported by £10m of funding) is to
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, position, scale, orientation) and their relation to behavioral performance. Track representational reorganization during learning of new objects through chronic multi-area recordings. Develop and apply
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. The study will involve computational modelling of dynamic aperture and coherent instabilities based on single- and multi-particle tracking simulations, as well as designing and conducting experiments
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radial velocity spectrometer, wide-field imagers, the Hydra multi-object spectrograph, and other instrumentation. They will also have direct use of the outstanding IU information technology infrastructure
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mechanisms available in multi-parametric MRI, we aim to establish deep learning models that predict biomarkers of diseases progression and response to therapies, with applications in brain tumours and neuro
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of London Cancer Institute. Objectives: The aim of the project is to study chromatin remodeling defects in cancer. The successful candidate will be responsible for designing and executing experiments