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the intricate dynamics of molecular collisions and reactions? Want to operate world-unique equipment? Join us as a PhD candidate and contribute to exciting research on cold and controlled reactive molecular
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you intrigued by the intricate dynamics of molecular collisions and reactions? Want to operate world-unique equipment? Join us as a PhD candidate and contribute to exciting research on cold and
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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
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Fourier transform spectrometer (FTS) with such a source for multispecies trace gas detection. This system has shown an excellent performance during in-situ measurements of a wide range of molecular species
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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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source for multispecies trace gas detection. This system has shown an excellent performance during in-situ measurements of a wide range of molecular species with high sensitivity (Opt. Express 32, 14506
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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