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                24th November 2025 Languages English English English Kavli Institute for Systems Neuroscience has a vacancy for a PhD combining optical imaging with 3D tracking to map neural coding of body posture 
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                results. You will join the Section for renewable energy and forest sciences and conduct cutting‑edge research using remotely sensed point‑cloud and image data to map forests. The position is part of two 
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                and Transmission Electron Microscopy studies at the Department of Physics. This PhD position is within the field of experimental materials physics and nanotechnology, in the project «Nanoscale imaging 
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                position is within the field of experimental materials physics and nanotechnology, in the project «Nanoscale imaging of magnetic skyrmion dynamics in thin film devices» (NIMSKY). Magnetic skyrmions 
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                characterize forest structure. Remote sensing data, such as images, lidar, and photogrammetric point clouds acquired from drones, aircraft, and satellites, will play a central role in the development 
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                the body under the novel communication paradigm called Internet of Bio-NanoThings, where sensing, actuation, and computing processes are tightly coupled to pervasively, perpetually, and precisely sense 
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                will focus on integration of the extensive amount of data collected by forest machines with remote sensing data to further characterize forest structure. Remote sensing data, such as images, lidar, and 
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                . About the project CLIPEUS aims at creating a communications network among man-made implantable devices and the natural cells inside the body under the novel communication paradigm called Internet of Bio 
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                “Female Heart”. The researcher position has a temporary financing for two (2) years from 01.11.25. About the project/work tasks: Advanced image analysis of ultrasound images Statistical analysis 
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                integrate advanced 3D cell culture, confocal and nano-CT imaging, and cutting-edge transcriptomic techniques, including single-cell and spatial transcriptomics, to map receptor-driven pathways involved in