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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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addresses this challenge in two ways: We investigate the fundamental neural mechanisms that control movement. We explore engineering-based solutions to restore function when these pathways are disrupted. As a
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machine learning models. You care deeply about privacy and are keen to create. You have a good command of spoken and written English. You are motivated to publish at top-tier academic venues. What we offer
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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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of semantics, pragmatics, philosophy of language, conversational analysis and dialogue modelling), the series of experiments will result in four journal papers, to be integrated into a dissertation. You will
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with rapid binary-population synthesis codes to detailed stellar evolution calculations with 1D stellar evolution codes. The models you develop will be directly linked to new and upcoming observations
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courses on quantum field theory and the Standard Model of particle physics.) Or you expect to obtain your Master’s degree around the starting date of the appointment. You are curious, communicative
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. If the evaluation is positive, your contract will be extended by 2.5 years (4-year contract). You will receive a starting salary of €3,059 gross per month based on a 38-hour working week, which will increase