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the subcellular to the patient level. PhD projects range from the analysis of basic cellular processes to clinical translation, from the application of novel biological approaches to the development of new imaging
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scientists with a vivid interest in interdisciplinary projects to image cell dynamics from the subcellular to the patient level. PhD projects range from the analysis of basic cellular processes to clinical
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neurological diseases. Before PET imaging, a radiotracer is injected into the patient to display metabolic processes in the body. At the Institute for Neuroscience and Medicine (INM-4), we are developing
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 21 days ago
innovation. Through strong partnerships, we accelerate the transfer of new ideas from the lab to real-life applications, improving lives. The Institute of Biological and Medical Imaging (IBMI) at Helmholtz
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science/biomedical engineering or of relevant scientific field A solid background in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning
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environmental geophysics. This PhD project aims to advance the process-based understanding of SSF by combining state-of-the-art geophysical methods with controlled field experiments and numerical modeling
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of infectious disease. Our laboratory also offers a wide range of further methods and technologies (organoids, organ-on-chip, diverse sequencing approaches, confocal imaging etc.). Thus, students with an open
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Course location Hamburg Description/content The Cluster of Excellence "CUI: Advanced Imaging of Matter", which is funded by the German federal and state governments, combines projects in physics
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al. (2014), EMBO J), the laboratory has more recently employed state-of-the-art genome editing, tailored cellular models and advanced proteomics and imaging to further define the substrate spectrum
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/biomedical engineering or of relevant scientific field A solid background in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning packages