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The analysis of generated data and communication within an interdisciplinary team made up of people working in natural, life and computer sciences as well as medicine Presenting the research outcome in lab
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cooperation partners in their research projects with state-of-the-art light and electron microscopes (https://www.leibniz-fmp.de/cellular-imaging ). We work with proteins, cell cultures, and model organisms
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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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certificates, 2 references, max. 10 MB) by 24.04.2026 exclusively digitally via our career portal (https://8101202752.karriereportal.cloud/ ) to Ms. Jennifer Scholze. For organizational reasons, only online
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participation of women in all employee groups. Professional gender equality is guaranteed. The Kiel Institute is an equal opportunity employer with a certified family friendly policy (https://www.ifw-kiel.de
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of women in science and therefore strongly encourage applications from female researchers. Please note the information on storage of personal data: https://www.uni-magdeburg.de/en/data_protection.html https
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the project under: https://bio-micro.eu/ Your main work place will be at the German Institute of Human Nutrition in Potsdam near Berlin (https://www.dife.de/en/ ) in the Department of Molecular
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The LIT - Leibniz Institute for Immunotherapy (foundation under civil law) (https://lit.eu/ ) – is a biomedical research centre focusing on translational immunology in the fields of cancer
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part of the Forschungsverbund Berlin (https://www.fv-berlin.de/) and the Leibniz Association (https://www.leibniz-gemeinschaft.de ). You can find more details on the institute webpage: https://www.ikz
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(A levels and the current transcript of Bachelor and/or Master courses and grades), and any recommendation letters via our application portal (reference number 2026-DS-2): https://www.atb-potsdam.de/en