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, segmentation, and metric-semantic mapping - Develop and evaluate machine learning-based image segmentation methods for robust perception in extreme environments; - Contribute to metric-semantic mapping
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are you going to do Adolescents heavily use synthetic content – AI-generated text, audio, images, and video. However, given their still developing cognitive skills, they may also be least equipped to deal
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-content microscopy and AI/deep-learning-supported image analysis will be used to quantitatively assess neuronal morphology and maturation. Parameters will include dendrite length and branching, axon growth
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 2 months ago
, we combine imaging mass spectrometry with digital pathology and computational data analysis. The PhD project "Computational Imaging Mass Spectrometry: Spatial Metabolomics, Spatial Exposomics, and
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ejection fraction and contribute to the assessment of conditions including heart failure and valvular heart disease. At present, cardiac volumes are predominantly assessed using imaging techniques such as
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, imaging or diagnosis. This PhD project will develop stimuli-responsive nanozyme coatings for personalized medical implants. Nanozymes are nanomaterials capable of mimicking the catalytic activity of natural
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approaches. Collecting and integrating non-radiological (clinical) data for comprehensive analysis. Optimizing imaging protocols and scanner workflow. Contributing to ethics applications and study preparation
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to fundamentally transform our understanding of how media shape adolescents' gender beliefs, body image, sexuality, and mental health. GENSCOPE recognizes that adolescents simultaneously navigate diverse, and often
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Max Planck Institute for Heart and Lung Research, Bad Nauheim | Bad Nauheim, Hessen | Germany | 16 days ago
research experience in RNA biology and/or high-throughput sequencing technologies would be a strong advantage Familiarity with programming languages such as R or Python for data analysis is beneficial
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and experimental models to study metabolic communication in GBM invasion. In this context, spatial transcriptomics and mass spectrometry imaging provide tissue-level maps of tumour–microenvironment