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or with equivalent status pursuant to the German Social Code IX (SGB IX) will receive priority for employment. Please submit applications containing all documents. The documents must be in English and
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found in our guidelines for review under the following link: https://uni-tuebingen.de/en/12271 The successful candidate will be working in a highly collegial and family friendly work environment. The
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position may be found in our guidelines for tenure review under the following link: https://uni-tuebingen.de/en/12271 Applicants for a Tenure-Track professorship with a PhD from Tübingen must have changed
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more than 42,000 employees and an annual budget of over € 5 billion, the Helmholtz Association is Germany's largest scientific organisation. Where to apply E-mail recruitment@desy.de Website https
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evaluations online at https://berufungsportal.uni-frankfurt.de by 20 February 2026. If you have any questions, please contact Prof. Dr. med. Andreas Reif at reif@med.uni-frankfurt.de . Further information
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metamaterials. The successful candidate participates actively in the qualification program and general scientific activities of D³. More information can be found at https://tu-dresden.de/ing/forschung
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for three letters of reference to be submitted via https://www.pks.mpg.de/reference . Please submit all materials by April 3rd, 2026. Apply now Prof. Dr. Frank Jülicher Max Planck Institute for the Physics
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | 30 days ago
/InstituteHelmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz AssociationCountryGermanyCityDresdenGeofield Contact City Dresden Website https://www.hzdr.de Street Bautzner Landstraße 400 Postal Code 01328 E-Mail
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of family and career Excellent conditions for developing a scientific career, including: in-depth knowledge in the fields of liver research and toxicology (Examples of our publications: https://doi.org
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, candidates are required to complete a scientific programming task in the subject area of the advertised position: https://www.hpc.uni-wuppertal.de/de/peter-zaspel/challenge-in-bayesian-inference-for-climate