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cell handling, differentiation, and organoid formation, while inte-grating automated imaging, quality control, and data analysis. A strong component of the work will be the programming and customization
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Scheer. The institute in Tübingen is a highly attractive workplace, with its departmental structure, flat hierarchies, well-established bachelor’s and master’s degree programs, and a workspace at
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positions are flexible in terms of research direction within 3D vision and graphics with a heavy focus on cutting-edge deep learning-based techniques. We are particularly interested in static and dynamic 3D
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areas. The role requires both independent work and effective collaboration, particularly during measurement campaigns at synchrotron and neutron facilities. Experience with programming languages such as
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02.07.2024, Academic staff The Professorship of Energy Management Technologies at TUM’s School of Engineering and Design is looking for a Postdoc or Doctoral Candidate (f/m/d) in Intelligent Energy
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group is to improve the understanding of the trade-offs between production, mitigation and conservation in livestock-based systems, and to identify innovative mechanisms for landscape-level management
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neural networks that handle the many challenges of integrating such complex medical data sources on large-scale studies and the translation to clinical practice. Qualifications PhD in (Bio-)Statistics
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of the trade-offs between production, mitigation and conservation in livestock-based systems, and to identify innovative mechanisms for landscape-level management. Our group combines empirical work (with