189 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" positions at Leibniz
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information at: http://www.ifw-dresden.de . The Institute for Metallic Materials (Prof. K. Nielsch) of the IFW Dresden offers a Post Doc Position (m/f/div) on the following topic: Project Coordination and Build
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on the processing of personal data as part of the application and selection process, please refer to the privacy policy on our homepage at https://www.senckenberg.de/en/imprint/ Please visit our website
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refer to the privacy policy on our homepage at https://www.senckenberg.de/en/imprint/ . For further information about the Senckenberg Gesellschaft für Naturforschung please visit www.senckenberg.de
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its employees in reconciling work and family life and regularly undergoes the audit berufundfamilie® . Further information at: http://www.ifw-dresden.de . The Nanostructured Thin Film Materials (NTFM
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(at)senckenberg.de For more information on the Research Fund, please contact: Prof. Dr. Ottmar Kullmer via e-mail: ottmar.kullmer(at)senckenberg.de . For data protection information on the processing of personal data
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hybridization, in–vivo electrophysiology data analysis with mice and is tightly linked to independent subprojects involving in-vivo electrophysiology in humans and high-resolution fMRI in awake rats
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(DNA extraction, DNA quality check) Bioinformatic processing and analysis of next-generation sequencing data GIS-based landscape analysis Statistical modelling of the relationship between genetic
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image analysis to establish objective, fast, and scalable testing methods for the textile and cosmetics industries. Your tasks Development and implementation of AI/ML models (Deep Learning, Computer
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-funded project with 23 partner institutions, that aims to create a robust monitoring network to: support the expansion, improvement and harmonization of existing data, knowledge, and monitoring approaches
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-funded project with 23 partner institutions, that aims to create a robust monitoring network to: support the expansion, improvement and harmonization of existing data, knowledge, and monitoring approaches