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influenced corrosion (MIC) in marine environments. It uses AI-supported models, Bayesian data fusion, and real-time sensor data integration. Your responsibilities include: Development of a digital twin (DT
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different laboratories including several labs at Yale School of Medicine. Scientists from your group will join cross-institutional lab meetings and have the option to visit some collaborators on-site
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division 8.5 Planning, performing, and evaluating in-situ/4D computed tomography experiments Developing software for the quantitative evaluation of various image data sets (algorithms for detecting volume
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electrophysiology, calcium imaging, optogenetics, animal behavior is preferred, but we are interested in applicants with different backgrounds Background in data analysis, image processing, physics, engineering are
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resources. We offer an international and multi-disciplinary environment with strong expertise in the proposed research fields. The group consists of approximately 17 members at different levels of seniority
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relationships should then be extrapolated to different ecosystems in European seas, also in support of management efforts. Our team is internationally renowned in the field of trait-based marine modeling. Within
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the proposed research fields. The group consists of approximately 17 members at different levels of seniority. Salary is paid according to German TV-L (salary agreement for public service employees). As an equal
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collaboration across the Berlin biomedical research hub. Job Description investigate mechanisms that maintain and diversify genome stability analyze context-dependent DNA repair processes across different cell