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synthetic microorganisms to detect and destroy bacterial and fungal pathogens selectively. SynThera consortium contains ten research groups and is coordinated by Prof. Dr. Kai Papenfort and Prof. Dr. Miriam
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Students Current Students Staff Back Advice and help Computer and IT Staying healthy Communication and media Human Resources Use of rooms Corporate Design Teaching Staff Back Veranstaltungen Förderformate
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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | about 2 months ago
collaboration with Dr. Mohsen Bagheri and Prof. Dr. Eberhard Bodenschatz. We are an international research institute conducting both experimental and theoretical fundamental scientific research and currently
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planning, execution, and analysis of comprehensive experiments in the field of translational hematology/oncology Application and further development of state-of-the-art molecular biology methods, including
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these changes, identify their causes and describe their impacts on biodiversity and ecosystem services. To do this we use a combination of diverse methods, from empirical research to remote sensing and simulation
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. The candidate will have the opportunity to obtain additional external funding and develop an independent research program during the postdoctoral training. We are looking for an enthusiastic scientist with a
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data analysis experts. The main tasks include the analysis of complex biomedical data using modern AI methods, as well as the development of novel machine and deep learning algorithms to understand
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Max Planck Institute for Extraterrestrial Physics, Garching | Garching an der Alz, Bayern | Germany | about 1 month ago
) in Garching, led by Prof. K. Nandra. MPE is a world-leading institute in space- and ground-based experimental astrophysics, with leading roles in a number of large astronomical projects. The high
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22.03.2021, Wissenschaftliches Personal The 3D AI Lab at the Technical University of Munich is looking for highly motivated PhD students and PostDocs at the intersection of computer vision, machine
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Foundation (DFG), at the University of Tübingen. The project is led by Principal Investigators Prof. Dr. Michael Franke and Dr. Todd Snider. The project seeks to investigate cognitively plausible models