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Are you fascinated by music and computing? Join the Music Information Computing Group as a PhD candidate to work on computational modelling of musical style – a key challenge in Music Information
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computer models as well as being in the lab. You have affinity with analytical determination of pharmaceuticals in difficult matrices. You are able to dive into topics outside your current knowledge base
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into the PhD programme. Required qualifications: Demonstrated experience with experimental techniques (e.g., flow-through experiments, column studies, material characterization) and/or numerical modeling of flow
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, support decision-makers, and advance debris-flow modelling for future research. In this PhD, you will carry out field measurements and run numerical simulations to better understand and predict debris-flow
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poorly understood and are inadequately represented in current climate and ice sheet models. This project focuses on improving the physical representation of glacier dynamics, calving laws, and ice–ocean
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(PICs) increasingly used in various applications. To allow a smooth design flow for these PICs, optimized compact models are needed. This PhD position is enabling compact models for optical amplifiers and
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freshwater between air and water remain poorly understood. These interactions shape local weather extremes and climate variability, but current models miss them. QUASI turns Lake Victoria—Earth’s largest
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environment. Supported by the grant from the Dobberke Foundation, we will uncover the neural mechanisms underlying this fundamental ability, using the highly social fish Neolamprologus pulcher as a model system
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in motor control by computational modelling and non-invasive brain stimulation. The focus of this project will be on advanced versions of transcranial alternating current stimulation (tACS), targeting
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(AM) technologies. Instead of following the traditional linear model of “produce–use–discard”, ADD-reAM focuses on extending product lifetimes, reducing waste, and lowering dependency on virgin raw