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interest in the human brain. Programming experience (Python, MATLAB) and proficiency in spoken and written English is required. Experience with or an interest in microscopy, quantitative image analysis
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around the modelling protocol: diagnostic checks of scenario submissions against the protocol, and documentation of harmonized assumptions and remaining differences across models Contribute to / develop
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Mitigation Policy and Requirements were updated in 2023, with a further update planned for 2030. Addressing this global concern requires not only models capable of projecting debris populations over different
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high-quality experimental datasets using laboratory flume facility. Developing and validating hydrodynamic models to simulate the effect of vegetation in different environmental conditions. Designing and
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the University of Edinburgh. We can offer opportunities for you to develop in your career and make a real difference in the communities around us while contributing to the world at large. The University
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recordings of speech, breathing and cough, developing self-supervised learning and foundation-model approaches that are robust to noise, demographic variation and different recording environments. You will
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configuration of physics-based simulation environments (e.g., different simulators and robot models) Modeling and implementation of contact-rich handling and assembly operations in simulation Exploration
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well as societal applications in cancer treatment, radiation-tolerant microelectronics, and other radiation-based technologies. Duties The doctoral project will investigate the competition between different reaction
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be used to combine these datasets while accounting for their different spatial scales, uncertainties and sampling frequencies. Machine-learning methods may also be explored for retrieval, bias
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central scientific challenge will be to learn integrated representations of forest ecosystems from datasets with very different characteristics, resolutions, coverage, and levels of supervision