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Vacancies PhD position in Numerical Modeling of Thermo-Mechanical Effects for High-Performance Mechatronics Key takeaways A PhD position is available at the chair of Precision Engineering at
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that activity-silent mechanisms, such as short-term synaptic plasticity, also play an important role. We will experimentally target these two mechanisms, using EEG in combination with machine learning to reveal
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across mechanical, materials and robotics engineering; optimisation, systems and control; and sustainable chemical engineering and biotechnology. Qualifications The ideal PhD candidate for this position is
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being recorded. This project aims to uncover the neural mechanisms underpinning communicative challenges in socially anxious individuals. The second PhD candidate will investigate how socially anxious
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material models based on advanced ML methods, and to seamlessly integrate these models into Finite Element Modelling (FEM) to replace expensive and time-consuming experimental procedures, thereby enhancing
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material models based on advanced ML methods, and to seamlessly integrate these models into Finite Element Modelling (FEM) to replace expensive and time-consuming experimental procedures, thereby enhancing
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bottom-up approaches for investigating the mechanisms of chaperone-mediated protein folding. Your responsibilities will include: conducting independent experimental work and perform data analysis
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? Then consider advancing these theories with us. In this project, we aim to extend the powerful tools of statistical mechanics on graph and network models to broader applications in soft and active
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. The institute provides a collaborative, resource-rich environment with cutting-edge laboratories and facilities to support transformative research across mechanical, materials and robotics engineering
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ensembles. The Incarnato group uses both prokaryotic and eukaryotic cellular models and exploits (or develops where needed) cutting-edge experimental methods (Marinus et al., 2021 [PMID: 33398343]; Incarnato