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The Bernhard Nocht Institute for Tropical Medicine (BNITM, https://www.bnitm.de/en ) is the largest Research Institute for Tropical Medicine in Germany with approximately 420 employees. It is the
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part of the Forschungsverbund Berlin (https://www.fv-berlin.de/ ) and the Leibniz Association (https://www.leibniz-gemeinschaft.de ). You can find more details on the institute webpage: https://www.ikz
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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 Institute for Metallic Materials the IFW
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world with increasing digitalization and medical needs. Our research integrates materials chemistry, biological processes, physical analysis, process engineering and data science. We collaborate with
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at Thomas.Hickler(at)Senckenberg.de For data protection information 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
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: Develop and complete a doctoral dissertation aligned with work package 1 objectives Requirements: Master’s degree or PhD in Oceanography, Climate Science, Physics, Biogeochemistry, Earth System Science or a
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at andreas.mulch(at)senckenberg.de For data protection information 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
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scientist with a strong background in: MR Physics, Data Science, Biomedical Engineering, or a related discipline Solid experience in MRI acquisition and data analysis, ideally in cardiac and/or brain imaging
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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/ With the application you agree
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January 2026 to (see button e-mail application below). https://jobs.zalf.de/jobposting/af3d771faf0a6dcc04a638f8f0d8f039bd501f6f0 If you have any questions, please do not hesitate to contact us: Dr. Ehsan