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learning and data analysis experts. The main tasks include the analysis of complex biomedical data using modern AI methods, as well as the development of novel machine and deep learning algorithms
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processes that produce energy and raw materials. The Institute of Radiopharmaceutical Cancer Research develops radiotracers for imaging of cancer biomarkers and personalized therapies. In a joint effort of
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learning, image analysis, and advanced computing to study relationships between structure and function. Keywords: Human Brain, 3D Atlas, Deep Learning, Temporal Lobe, Brain Function Entry Requirements
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into goal-directed behavior. We use state-of-the-art approaches including functional brain imaging, automated behavioral analysis, and computational neuroanatomy. We value a collaborative atmosphere, early
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microscopy and automated image analysis Basic knowledge of toxicology (e.g. through DGPT training courses or relevant studies / professional experience) Experience in establishing test methods Conscientious
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Description The MAPK pathway plays crucial roles in cancer cell proliferation, survival, and therapy resistance. This project aims to dissect the compartment-specific regulation of ERK1/2 signaling
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Description Description: PhD project supervised by Prof. Dr. Magdalena Götz (Biomedical Center LMU Munich & Institute for Stem Cell Research, Helmholtz Center Munich). The project investigates
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, PMID30224749 and PMID32743075 . Requirements M.Sc. degree in molecular-, cell-, structural biology, computer science, digital image analysis or related fields that included minimum six months long
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and Data Science (MIDS) at the KU Eichstätt-Ingolstadt. The research group works at the intersection of analysis, modeling and simulation. The advertised position is partly funded by the German Research
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group at the Institute of Coastal Ocean Dynamics conducts laboratory- and field-based research, by developing and deploying unique, novel high-resolution imaging systems to investigate submillimeter-scale