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modeling. The position is available from 1 May 2026 or as soon as possible hereafter. Job description/research area The postdoc will contribute to a project enhancing cross-disciplinary collaboration by
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modelling Experience with hardware-in-the-loop (HIL) emulators such as dSPACE, OPAL-RT, and Speedgoat Experience in power systems and system optimization Knowledge of battery storage technologies and battery
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/or large genetic datasets. This may include genetic analyses, causal inference, epidemiological analyses, and clinical prediction modelling using machine learning approaches, and development
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models to better understand the relation between radiation doses and neurovascular effects and to develop proton therapy planning strategies to mitigate these effects. The project will be performed in a
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identification and population monitoring Contribute to automated approaches for tracking long-term population trends in wildlife Collaborate with colleagues on ongoing modelling and simulation work across the
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dynamics information. As a postdoc, you will contribute to the development of single molecule fluorescence real-time imaging methodologies using both experimental approaches, involving model nucleic acids