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, and computation in a collaborative environment, offering postdocs the chance to lead high-impact, interdisciplinary projects at the forefront of neuroengineering. We are recruiting a highly motivated
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applications. Our overarching aim is to obtain a holistic view of interconnected biological systems in health and disease. We develop clearing technologies for cellular-level imaging and deep learning algorithms
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are in engineering sciences, mathematics, computer sciences, natural sciences and medicine. Our economics, social sciences and humanities are indispensable and crucial disciplines in a modern university
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Join an open, interdisciplinary team working at the intersection of computational biology, stem cell biology and neuroscience Collaborate closely with colleagues from experimental research Develop AI
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, as part of the development, one position located in Görlitz as Research Associate / PhD student (f/m/x) Integration of CMOS detector technology into the Universal Bayesian Imaging Kit (UBIK) (subject
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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
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members in one of Europe’s largest interdisciplinary research centers and help us to shape change! The Faculty of Agricultural, Nutritional and Engineering Sciences of the Rheinische Friedrich-Wilhelms
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physics, engineering, medicine, biology or a related field Practical experience in optics, signal processing and working with experimental setups (e.g. MATLAB) Interest in medical diagnostics and innovation
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sequencing, RNA sequencing, mouse models, iPSC-derived organoids, and functional genomics approaches. The lab has strong collaboration partner in computational biology and bioinformatics, and the candidate
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Understanding (Prof. Dr. Martin Weigert) Research areas: Machine Learning, Computer Vision, Image Analysis Tasks: fundamental or applied research in at least one of the following areas: machine learning