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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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Chair of Biological Imaging 07.08.2025, Wissenschaftliches Personal We are now looking for a highly qualified and motivated researcher with an engineering or physics background (f/m/x) and a
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learning, computational mathematics, and probabilistic modeling, with direct applications in medical imaging and beyond. Details can be found in the link below. The position is suitable for disabled persons
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sustainable, there is an urgent need for innovative solutions to reduce carbon emissions during synthesis, enhance the durability of materials and improve recycling processes. Be part of this change and explore
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Job Advertisement 2025-06 23.07.2025 At the Leibniz Institute of Atmospheric Physics (IAP), a full-time position (40h/week) in the Department “Modelling of Atmospheric Processes” is available as
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concerned, among other things, with the effects of images and the mechanisms that make up communication with images. Key questions are: Who produces images and for whom? What message do these images convey
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learning, or signal processing; familiarity with microscopy data is an asset but not required Interest in foundational machine learning research with applied impact in scientific imaging Demonstrated
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-weighted imaging, and EEG, in combination with genetic data (GWAS, bioinformatics) from large-scale population cohorts. Positioned at the intersection of biological psychology, cognitive neuroscience, and
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disease variants, to gain insights into how cells adapt and work together to safeguard organ formation. Using advanced live-imaging techniques, the research team closely interrogates how developing tissues
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functionality and analyzing integrated safety mechanisms result in high simulation times. To better address these issues, a virtual prototype will be created. This prototype will significantly reduce simulation