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Max Planck Institute of Biophysics, Frankfurt am Main | Frankfurt am Main, Hessen | Germany | 3 months ago
computational methods to investigate the structure, dynamics and function of cellular systems at molecular scale. It consists of about 200 employees from more than 25 countries, and is located at the Campus
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analysis in the construction domain/synthetic data creation and transformation. The group develops AI methods for 3D model creation, plan and scene analysis in the construction sector by analyzing as-built
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Contact persons Research Back Research infrastructure Back Digital Humanities Center LISA+ Tübingen Structural Microscopy (TSM) Research data management (RDM) Core research Back Profile areas Cluster
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for Medical Research have developed a novel coating method that mimics nanometer-scaled moth eye structure for anti-reflection applications. To date, conventional mass-production of such structures was complex
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managing third-party funded projects Excellent organizational, teamwork, and communication skills Excellent written and spoken English and German (C1 level) Familiarity with university structures
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application-oriented research Your strengths include a responsible, independent, and structured approach to work Prior knowledge in the field of additive manufacturing, laser technology, or programming (NC
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Analysis of Electronic Structure Methods for Molecules and Materials. About the PhD Project: The goal of the project is the development of a posteriori error estimates for state-of-the-art numerical methods
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: version control, documentation, automated testing, CI/CD etc. Independent, structured way of working Ability to work in teams and communicate progress Very good knowledge of English We offer: Involvement in
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to interdisciplinary and nontechnical stakeholders A structured and solution-oriented working style Excellent English communication skills, written and verbal Experience with medical data, AI infrastructures
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cancer research, educates the next generation of translationally oriented scientists, and establishes high-performance structures to facilitate the transfer of research findings into clinical cancer