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). Contribute actively to the project and the host institution’s research community. Eligibility and assessment Applicants must hold a PhD (candidates who are in the final stages of completing their doctoral
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must hold a PhD (candidates who are in the final stages of completing their doctoral dissertation may also be considered), demonstrate the ability to conduct independent research, and have prior
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Doctoral Researcher in statistical signal processing. The Structured and Stochastic Modeling Group, headed by Prof. Filip Elvander, conducts research in statistical signal processing, ranging from
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field effect transistor devices on flexible substrates. The specific task of the position is to design and fabricate an implantable device for bidirectional signal transmission (measurement and
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the project from various angles (psychology, neuroscience, signal analysis, computational methods). What we offer? The support of an experienced and enthusiastic team where you can share your expertise and grow
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modeling (e.g., Rhino/Grasshopper, Phyton, Unity, Blender). Point cloud processing (e.g., CloudCompare, Autodesk ReCap) and/or GIS. Immersive simulation environments and interactive design tools. Experience
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, predictiveness, and applicability of such models while ensuring they can be effectively integrated into the engine development process. This includes aspects such as automatic model calibration, validation, while
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with mechanical motion. In our more applied research, we lay the foundation for a new generation of devices that use various types of microwave-optomechanical effects for efficient signal processing. We
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to understand the damage and repair processes in the central nervous system (CNS) with the aim to unlock the endogenous repair potential. The group has a strong focus on neural regeneration and disease
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doctoral degree relevant for the project, for instance a PhD in plant sciences or plant ecology, and the ability to conduct independent scholarly work. The position also provides the opportunity to co