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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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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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/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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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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regulation (http://www.ipb-halle.de ). How to Apply: Please email a single PDF file containing the following documents to bewerbungen@ipb-halle.de (Subject: PhD ML Enzyme Design – Ref No. 11/2025): Cover
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your online-application as one single pdf-file (http://www.ipk-gatersleben.de/en/job-offers/) by 25.03.2026. If you have questions or require more information, please contact Kerstin Schweigert (jobs
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regulations. Further information on data protection and the processing of personal data can be found at: https://www.isas.de/en/datenschutz . The closing date for applications is April 11, 2026. Please apply
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for mobile working Modern equipped offices, social rooms, company health promotion, parent-child room, etc. for a pleasant working environment (details on our social benefits at https://www.lifbi.de/Career
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and the current transcript of Bachelor and/or Master courses and grades), and any recommendation letters via our application portal (reference number 2026-DS-1): https://www.atb-potsdam.de/en/career