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to prototype validation and measurement activities. Document design choices, trade-offs, and experimental results in high-quality publications. The position offers the opportunity to establish an independent
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hybrid models that integrate limnological knowledge into machine learning models following the paradigm of Knowledge-Guided Machine Learning (KGML). The position is part of an on-going project
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an expert in the extracellular vesicle field with skills in genetic engineering of extracellular vesicles (including transient/stable transgenesis of zebrafish), live embryo imaging, and spatial
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imaging. This position offers the opportunity to develop cutting-edge platforms for real-time monitoring of human tissue metabolism in physiologically relevant models. You will play a key role in our
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reactivity of gene-engineered T cells Qualifications Candidates most have a PhD in the area of Immunology and Cell Biology. In addition, candidates should be trained in: T cell detection technologies, using
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: Programming skills (Python, and/or C# or similar programming language). Knowledge of some of the following fields: medical image data, database structure, image processing, creation of user-friendly WEB pages
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. Nature Physics20, 970 (2024)). You will also work on expanding our coherent imaging methodology to look at dynamics and phase switching in materials at the nanoscale (Johnson et al. Nature Physics19, 215
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-supervise MSc/PhD students and contribute to the dissemination of results through publications and conferences Qualifications As a formal qualification, you must hold a PhD degree (or equivalent) in