51 evolution "https:" "https:" "https:" "UCL" Postdoctoral positions at Technical University of Munich
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-MS. (previous works e.g.: https://www.nature.com/articles/s41563-019-0555-5). Ideally, the applicant takes over the co-supervision of selected PhD candidates. We are looking for an individual with a
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samples, mock-ups, and in-situ data, and defining standardized metadata and interoperability formats. • Maintenance and development of the insiTUMlab data repository in MediaTUM. • Participate in and
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and are not yet used regularly in industrial development processes. We believe that fully automating the verification process is a crucial step towards a broad acceptance of this technology. Our pre
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organoid-based research. For more information go to: https://www.bauschlab.org Your Qualification: High motivation, curiosity, and commitment to scientific excellence PhD in stem cell biology, developmental
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a unique opportunity to contribute to cutting-edge research on remote robotic control under network uncertainties, focusing on the development of fault-tolerant and adaptive control architectures
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of the European Union (GDPR) at https://portal.mytum.de/kompass/datenschutz/Bewerbung/. By submitting your application, you confirm to have read and understood the data protection information provided by TUM. Find out
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applying computer science methods within the context described above. In particular, you will coordinate the contributions of the professorship to the EU project INTELLIGENT (https://intelligent-project.eu
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the cluster to engineer proteins for a broad range of biological and biomedical applications. The position combines scientific leadership, technology development, and facility management. Your Responsibilities
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. The position combines scientific leadership, technology development, and facility management. Your responsibilities Scientific and operational leadership of the Bioanalytics Facility Development and optimization
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(PD Dr. Keno Bressem) Your Responsibilities • Development and implementation of generative AI models (in particular diffusion models and variational approaches) for creating explainable patient