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that paradigm and explores negative ion mode LC-MS/MS to reveal new molecular insights and enable broader biological discovery This PhD position is part of a vibrant research environment involving other
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that may lead to chronic inflammation. In this project, we aim to pave the way for a paradigm shift in IS treatment, centered on the vision that active resolution of post-stroke inflammation and improved
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solution, e.g., event-based computing, which is particularly suitable for low-latency and low-power systems. In this promising computational paradigm, information is created, processed or transmitted only
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laboratory (wind-wave facility) experiments, using state-of-the-art imaging techniques developing computational codes to process and understand large experimental datasets (e. g., image processing) analyzing
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lengthy processing times associated with sequencing. This PhD project aims to develop innovative artificial intelligence (AI) methodologies by integrating histopathology images and RNA sequencing data
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on both public transport, walking and bicycle trips focusing on the full door-to-door travel. The data sources include image data in terms of photos and videos of the urban landscape as well as in and
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processes such as metabolic flux readouts and analyses of signaling pathways. In this way, the project integrates discovery-based proteomics with mechanistic experiments to directly link protein localization
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Infrastructure? No Offer Description Work group: INM-7 - Gehirn und Verhalten Area of research: Promotion Job description: Your Job: Working with a broad range of imaging modalities (e.g. structural, diffusion
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maintain robustness through evolution using live-cell imaging and multiscale modelling. Job description Cells are often described as intricate machines where proteins work together in a tightly coordinated
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100%, starting January 2026 (negotiable) Proteins must fold correctly to function, and this process is tightly regulated by a network of chaperone proteins. At the heart of this network is Hsp90, a