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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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, 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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challenges, creating synergy and fostering new collaborations. For example, one project might involve developing machine learning models to analyse complex neuroimaging data. Another could focus
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models to analyse complex neuroimaging data. Another could focus on implementing AI-driven tools for behavioural analysis. This unique role allows you to actively connect different research groups and
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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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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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the other SPINES PhD projects on (a) ‘Infrastructure Managers as Institutional Entrepreneurs’ (University of Groningen), and (b) ‘Modelling Shared Pathways and Tipping Dynamics’ (University of Twente
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you like to contribute to an increased understanding of carbon cycle feedbacks in the climate system? Do you thrive in the dynamic blend of seagoing fieldwork, laboratory experiments and modelling? As a