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), robotics tools (ROS), simulation environments, and analytical/numerical modelling. Competent in soft skills, including the ability to work independently, problem-solve creatively, and develop research
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expertise in cancer cell metabolism and blood cancers. Ideal candidates will have experience in genetic mouse models, cytometry, cell culture, and metabolic analyses. The project uniquely provides
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-accelerated intense proton beams. Primarily, the tasks are to be done by means of analytical calculations and high-performance computing simulations in a strong link with the industrial partner (HB11 Energy
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a pipeline to map multi-source water utility data into a consistent, documented target model (schemas +semantics). 2. KAG-based assistance: develop KAG components that support (semi-)automatic
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-of-the-art models for computer vision based on Machine Learning. Work plan: - Analysis and study of existing resources. - Analysis of the state of the art in universal adversarial attacks on computer vision
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-of-the-art models for computer vision based on Machine Learning. - Analysis and Study of existing resources; - Analysis of the state of the art in adversarial attacks and adversarial training and their
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. Improve the SNN-based model head and compare its performance and efficiency with the standard (non-spiking) model. 3. Add simple explainability methods and check how the models behave under fairness and
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field data and ecological modeling. Pollutant Remediation and Pollution-Prevention Science Faculty Mentor: Dr. John Ferry (Environmental Chemistry) Focus on molecular approaches to pollutant remediation
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Github • Using a range of computer systems to run fluid flow simulations and optimisation algorithms, including High Performance Computing architectures • Assist and mentor students and research group
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in the μ-opioid receptor. The PhD candidate will: • generate high-resolution models of wild-type and R181C mutant μ-opioid receptor based on existing crystallographic data and perform molecular