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of this programme. The profile PhD in computer vision, computational biology, physics or a related discipline Demonstrated expertise in image analysis and working with large-scale imaging datasets Strong expertise in
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-throughput screening workflows and preparing samples for metabolomic analysis. Skills in quantitative image analysis, data processing pipelines, and introductory computational modelling. Competence in
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: The project aims to develop a novel mechano-Raman imaging platform to map mechanical deformation in polymeric materials with high sensitivity. By combining the design of vibrational force probes with advanced
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range of topics related to imaging with geophysical data. Our research focuses on mathematical methods for processing, imaging, and inversion of geophysical data, the physics of wave propagation, and the
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for the capture, processing, and dissemination of 3D digital twins of cultural artifacts using cutting-edge imaging and rendering technologies.
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The Center for Intelligent Optics (CIO) develops advanced optical technologies, including imaging, spectroscopy, and laser ablation methods. Our goal is to bridge these cutting-edge laser
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… Requirements Research FieldPhysicsEducation LevelPhD or equivalent Skills/Qualifications Your profile PhD degree in physics or similar natural science discipline, signal/image processing, or engineering Interest
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the FHNW. The goal is to develop a highly automated, reproducible pipeline for the capture, processing, and dissemination of 3D digital twins of cultural artifacts using cutting-edge imaging and
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for anomaly detection Design multimodal learning approaches that fuse image data with time-series sensor data for monitoring powder bed fusion processes Develop and maintain research codebases for training
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G. M. Silva, within the group of Prof. Roman Stocker, and focuses on the development and deployment of a new‑generation underwater imaging device to transform drift studies in riverine ecosystems. It