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evolution calculations with 1D stellar evolution codes. The models you develop will be directly linked to new and upcoming observations, including the just-released 4th gravitational-wave observations (O4
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experiment at the LHC. The project will be conducted in close collaboration with Dr Flavia de Almeida Dias and a postdoctoral researcher in experimental particle physics. Your appointment will be for four
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. Therefore, we provide various training and development schemes. Where you will be working You will join Dr Mengqing Wu’s research group, consisting of one PhD candidate and two postdoctoral researchers
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candidate, you will investigate the learning capabilities of feed-forward and recurrent models of neural circuits with various degrees of biological plausibility, with a focus on: Transferability of
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key physical properties of mixtures of molecules, including solubility, viscosity, and surface or interfacial tension. We will train a range of AI models to allow us to predict these properties from
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of core web technologies. You have solid experience in Python and JavaScript programming languages. You preferably have experience with building and using machine learning models. You care deeply about
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the learning capabilities of feed-forward and recurrent models of neural circuits with various degrees of biological plausibility, with a focus on: Transferability of representations in multi-task settings
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postdoctoral researcher, two PhD candidates, and two Master's students. The Spectroscopy of Cold Molecules department is highly international. English is the working language at the department and faculty
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at restoring motor function in models of motor disorder. Some part of the role may involve teaching and up to 0.1 FTE of your time may entail teaching activities. A fully funded PhD position is available
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, viscosity, and surface or interfacial tension. We will train a range of AI models to allow us to predict these properties from the chemical structure alone. Once established, we will expand the self-driving