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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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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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intelligent signal processing, with a focus on high performance and low energy consumption. You identify and solve problems independently and creatively while working closely and flexibly with a team of experts
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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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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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understanding of social networks and human-computer interaction are common to all our fields. Software engineering, signal processing, computer engineering and information security are solution-oriented
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networks and channel construction land use and system planning for communities construction related to heavy industry and energy systems special structures. You can also indicate your interest in
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for renovation integration of structures and systems structural solutions affecting energy efficiency. You can also indicate your interest in administrative roles, such as head of department or head of degree
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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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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