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The culturally diverse Research Group “Plant Architecture” is primarily interested in basic research questions concerning how cereal inflorescences, called spikes, develop and how this contributes
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funds for scientific travel Opportunity for professional development including co-supervisory experience Flexible working conditions Attractive benefits incl. subsidy for public transport across Germany
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Max Planck Institute for Chemical Physics of Solids, Dresden | Dresden, Sachsen | Germany | 2 months ago
discoveries in scientific journals and international conferences Working in collaboration with PhD students and research technicians Qualifications and skills Completed university degree and PhD in the field
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interfaces (application programming interface, API) for system control are being developed in order to automate both process monitoring and process control. The API-based integration of the digital twin
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https://www.bcp.fu-berlin.de/chemie/chemie/forschung/PhysTheoChem/agheinke/index.html The Heinke group deals with novel functional materials, in particular with thin films of nanoporous metal-organic frameworks, and their physicochemical properties. State-of-the-art spectroscopy techniques are...
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transporters, e.g. PIN auxin efflux carriers, in plant development. The projects routinely employ combinations of cell biological, biochemical and developmental approaches to deepen the understanding
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An exciting work environment with the opportunity to provide important impetus for the development of sustainable solutions Exciting topics in an international environment Work in the field of marine and
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technology. Development of cutting edge foundation models for protein design, small molecule property prediction, or protein function prediction Data generation and curation, including molecular simulation and
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Do a PostDoc in Pathology AI! 11.10.2023, Wissenschaftliches Personal The Computational Pathology Lab at the Technical University of Munich (TUM), TUM School of Computation, Information and
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team to work on machine learning-supported rapeseed genomics and breeding. Your tasks: You design, train and interpret deep-learning models to predict regulatory gene variants in rapeseed genomes. You