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Field
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and interpretation of biomedical data. We have a particularly strong interest in the application of imaging and computing technology to improve the understanding of brain development, to improve
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | about 1 month ago
the approaches (i) and (ii) regarding the prediction of tumour control # Calibrate radiomics software for improved processing of PET imaging # Harmonise PET image processing to reduce the impact of measurement
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vacuolar cation channel modulating ion homeostasis and calcium signalling in plants In vivo imaging of calcium and calcium decoding using fluorescence reporters Identification of interaction partners and
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vacuolar cation channel modulating ion homeostasis and calcium signalling in plants In vivo imaging of calcium and calcium decoding using fluorescence reporters Identification of interaction partners and
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simulations 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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) on Foundation Models and/or Deep Learning for Imaging Problems. The Professorship of Machine Learning at the Department of Computer Engineering at TUM has open positions for a doctoral researcher (TV-L E13 100
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-COPD comprises a multidisciplinary team of clinicians, experimentalists, computer scientists and patient representatives working in partnership with a medium-sized company to implement a Personalized
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application domains are e.g., signal-/image processing and machine learning. Tasks: scientific research and development in designing and programming fied programmable gate arrays (FPGAs) for accelerating signal
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well as interpretable AI approaches to develop clinically useful tools that can aid the diagnostic and therapeutic process in clinical care. Among many other projects, we are currently using support vector machines
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techniques, genetics, advanced live cell imaging, and intravital microscopy. Additionally, we will evaluate the clinical relevance of our findings using mouse models and patient samples. Are you a highly