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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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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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regions to capture high-resolution spatial–temporal environmental data (sedimentation, meltwater flows, vegetation changes, landslides). Process and analyse geospatial datasets, including 4D point clouds
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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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person for this position. Also, indicate what is your earliest starting day, if you are selected for the position. CV, max. two pages, including a list of your most relevant publications for the position
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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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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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support your application (Recommendations letters etc. are not asked at this point) Candidates may be invited for a video interview during the first stage of the recruitment process. The most qualified
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your research interests and address the points 1-8 above, outlining why you are the right person for this position. Also, indicate what is your earliest starting day, if you are selected for the position
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description We are looking for a motivated Doctoral Researcher with strong coding/signal analysis background to join