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Your Job: In this master’s thesis project, you will focus on the application of visual foundation models for the automated analysis of grain growth in nanocrystalline metals imaged by in situ
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approach by supporting tailored learning experiences based on the needs and schedules of the software developers. With recent advances in Large Language Models (LLMs) and their use for code generation
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Medical Imaging (IBMI) at Helmholtz Munich and the Chair of Biological Imaging (CBI) at the Technical University of Munich (TUM) are an integrated, multi-disciplinary research unit. Together they form
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Master Thesis - Development of ligand conjugated lipid nanoparticles for targeted T cell delivery...
holistic view of interconnected biological systems in health and disease. We develop clearing technologies for cellular-level imaging and deep learning algorithms (AI) to analyze large imaging and molecular
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. The group is expected to fully leverage a km-scale ICON model, capable of resolving storm systems and mesoscale ocean eddies. A key research direction will be to explore how storm-resolving models shape
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Interaction Causal Models and Inference Time Series Modelling Multimodal Data Integration and Modelling Image Recognition and Computer Vision Computational and Simulation Science Visualisation High-Performance
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discovery and chemical ecology. We also envisage to perform complementary spatial metabolomics using the in-house Desorption Electrospray Ionization-Imaging Mass Spectrometer (DESI-IMS). The candidate will
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cells (e.g., immune cells and tumor cells) in OoC systems Performing imaging experiments using light and fluorescence microscopy Quantitative image analysis and evaluation of immunological responses
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movement by high-resolution fluorescence microscopy and/or magnetic/optical tweezers, (iv) quantitative image processing, data analysis and modeling. The project is funded by the MARIE SKŁODOWSKA CURIE
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movement by high-resolution fluorescence microscopy and/or magnetic/optical tweezers, (iv) quantitative image processing, data analysis and modeling. The project is funded by the MARIE SKŁODOWSKA CURIE