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to process and understand large experimental datasets (e.g., image processing) #analyzing experimental results; developing conceptual models and parameterizations #scientific publication and presentation
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and their combination with observational data to improve the interpretation of cloud processes Coupling of cloud simulation data with detailed radiation calculation Evaluation of simulated 3D cloud
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and spectroscopy Construction and optimization of single-molecule microscopy setups Development of image- and signal-processing software for single-molecule microscopy and spectroscopy data Analysis
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key role in gene regulation. By employing omics-based approaches, metabolite tracing, proximity-labelling, and advanced imaging techniques, this project offers a unique opportunity to: Explore how
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, both written and verbal Knowledge of German and/or a willingness to learn Computer/programming literacy, for example in R, and/or software used in image processing (Adobe Photoshop, ImageJ etc.) Ability
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Studying lipid alterations of tumorous material by mass spectrometry imaging Quantification of corresponding lipids using liquid chromatography mass spectrometry Data analysis of sequencing and microscopy
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Studying lipid alterations of tumorous material by mass spectrometry imaging Quantification of corresponding lipids using liquid chromatography mass spectrometry Data analysis of sequencing and microscopy
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) on Foundation Models and/or Deep Learning for Imaging Problems. The Professorship for Machine Learning at TUM works on machine learning, artificial intelligence, and information processing. The current focus is
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Development of image- and signal-processing software for single-molecule microscopy and spectroscopy data Analysis of single-molecule microscopy data in collaboration with theorists from other institutions Your
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regulatory networks, cell behaviour, and morphology during this process. By examining species across evolutionary scales, we aim to uncover the mechanisms underlying morphological evolution and the general