118 data-"https:"-"https:"-"https:"-"https:"-"Iscte-IUL" Postdoctoral positions in Germany
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- Max-Planck-Institut für Kohlenforschung, Mülheim an der Ruhr
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Max Planck Institute for Chemical Physics of Solids, Dresden | Dresden, Sachsen | Germany | 3 months ago
are therefore expressly encouraged to apply. Application via our online form by 02 Nov 2025. More information about the Max Planck Institute for Chemical Physics of Solids and the Paired Electrons and Topology
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for an interview will be contacted. For more information, please contact: Dr. Ugaitz Elu (elu@fhi.mpg.de ) or Prof. Martin Wolf (wolf@fhi-berlin.mpg.de) Fritz-Haber-Institut der Max-Planck-Gesellschaft, Faradayweg 4
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Max Planck Institute of Biophysics, Frankfurt am Main | Frankfurt am Main, Hessen | Germany | 2 months ago
and spectroscopic characterization of catalytic reaction intermediates and their transitions. Single particle cryo-EM sample preparation and data collection using state-of-the-art equipment at our core
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in peer-reviewed journals Requirements Excellent doctoral degree in neuroscience or biophysics Experience in molecular biology, biochemistry, and electrophysiology; data science skills are also
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biology and research interest in immunology and oncology independent worker open to adapt and develop novel technologies and methodologies knowledge in bioinformatics and data analysis and system biololgy
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are welcome. Our recruiting is decentralized - your application will be reviewed directly by the specialist department in which you could work in the future. More information about our application process
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For further information please contact Prof. Dr. Matias Simons via e-mail . Interested? Applications will be accepted until 31.10.2025 via online. Institut für Humangenetik Prof. Dr. Matias Simons Im
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data synthesis. Their work will determine how urban features drive species diversity, how species diversity and urban features are represented in soundscapes and how these relate to human health and
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on the design and evaluation of innovative data- and machine learning-based systems to integrate more renewable energy into our energy systems and make energy use more efficient. We develop new optimization
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The Professorship of Public Policy for the Green Transition (PPGT) focuses on designing and evaluating policies for the green transition worldwide. The group uses a variety of methods from automated data analyses