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Spatial metaTranscriptomics methods and thus also handling of image data. The PhD student will interact with other team members to a large extent. For this purpose, we are looking for a PhD student with
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are particularly interested in the neuropsychiatric symptom picture in Parkinson's disease and in developing better treatment. We have a specific interest in the anatomical-functional association within the STN, and
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radar signals), (ii) Medical image analysis, and (iii) Machine learning/artificial intelligence. The group boasts extensive experience in fundamental research within computer vision, machine learning and
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is now seeking a professor in pharmacology with a preclinical focus. The department has access to a wide range of methods, including advanced fluorescence microscopy (from single-molecule imaging
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fluorescence microscopy (from single-molecule imaging to intravital microscopy), electrophysiology, respirometry, microfluidics, organoid cultures, bioprinting, and excellent opportunities to work with various
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role in communication, radar, imaging, and measurement systems. This project focuses on developing advanced theoretical frameworks, algorithms, and methodologies for analysing, designing, and
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to assess and ensure the safe, predictable, and transparent behavior of systems incorporating machine learning and generative models. Design and prototype frameworks or tools that support systematic V&V
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provides a vibrant interfaculty research environment and there is access to a wide range of state-of-the-art imaging, metabolomics, genomics and screening facilities. The Sixt lab is part of the Laboratory
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, ‘If successful it will result in the following…’ What does it mean in the bigger picture? ‘It will move the research front forward because…’ The (max) 5 pages to follow do not need to be structured in a specific
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as scientific visualization, data and information visualization, volume visualization, flow visualization, medical visualization, large-scale image and volume processing, multi-resolution and out