187 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "University of St" "St" "St" positions at Leibniz in Germany
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assistant to work approximately 40 hours per month to construct a new address data-based amenity index. Our project lies at the intersection of spatial economics and political economy. It aims to depict
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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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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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your online-application as one single pdf-file (http://www.ipk-gatersleben.de/en/job-offers/) by 25.03.2026. If you have questions or require more information, please contact Kerstin Schweigert (jobs
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regulations. Further information on data protection and the processing of personal data can be found at: https://www.isas.de/en/datenschutz . The closing date for applications is April 11, 2026. Please apply
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at: https://www.ipb-halle.de/institut/ Data protection: Please note the data protection information for applicants (m/f/d) in accordance with Art. 13 and 14 GDPR on data processing in the application process
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to contact the Human Resources team (bewerbungen(at)isas.de ). Further information about the institute can be found at: https://www.isas.de/en .
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of nutrition and health, with the aim of understanding the molecular basis of nutrition-dependent diseases, and of developing new strategies for treatment and prevention (https://www.dife.de/en/). We invite
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of personal data as part of the application and selection process, please refer to the privacy policy on our website at https://www.senckenberg.de/en/imprint/ Please visit our website at www.senckenberg.de
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FRESCH and support our research priorities, we are looking for a Postdoc (gn) – Data Scientist (Reference: 31-FRESCH) Your tasks: Extract data from existing databases containing in-situ observations and