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                Field
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                related discipline. Strong expertise in medical imaging and/or machine learning. Excellent programming and research skills. Interest in translational research and interdisciplinary collaboration with 
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                (typically mathematics, physics). For Postdoc applicants: Excellent track record in computer science or engineering. Fluency in spoken and written English is required. Proficient in at least one programming 
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                accessibility by public transport or car (including free parking) 30 days of vacation Participation in the benefits program for employees („Corporate Benefits“) The position is available for 3 years. We look 
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                published by our group (Nasri M, Ritter M et al., Mol Therapy 2024; Skokowa et al., NEJM 2021) and is currently funded by the BMBF/SPARK-BIH program. The postdoc will also participate in the development 
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                the collaborative research program “Precision Organoid Engineering for Multi-Organ Interaction Studies (POEM)”: https://www.uni-heidelberg.de/en/cctp-poem The POEM program aims to generate reproducible, micrometer 
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                program), whereas postdoc position is typically for two years. The selected candidate will get the opportunity to work in a highly stimulating and collaborative international research environment and access 
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                , computational data analysis and microbial evolution, with a solid understanding of quantitative statistics and programming (Python, R, MATLAB, etc.). Additional expertise in ancient DNA, (bio)archaeology 
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                machine learning methods in the context of biological systems Experience with programming (e.g., Python, Perl, C++, R) Well-developed collaborative skills We offer: The successful candidates will be hosted 
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                reduction, uncertainty quantification, machine learning, fluid mechanics. Experience with scientific object-oriented programming languages (C++, Python, or Julia) is highly relevant. Knowledge 
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                from other peers through a dedicated mentorship program. Technical queries should be directed to Robert Lasarzik (robert.lasarzik@wias-berlin.de ). The working hours are 39 hours per week and the