62 assistant-professor-computer-science-data "https:" "https:" "https:" "https:" "Dr" research jobs at Leibniz
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personal data can be found at https://leibniz-ifl.de/funktionen/datenschutz-sta The IfL advocates professional equality for all genders. Severely disabled applicants are given preference in case of equal
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: recruiting(at)senckenberg.de If you have any specific questions about this role, please contact Prof. Dr. Ingrid Kröncke at ingrid.kroencke@senckenberg.de. For data protection information on the processing
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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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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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that expenses that may arise in the context of an eventual job interview cannot be reimbursed. For more information, please contact Prof. Dr. Luca Gattinoni (luca.gattinoni(at)lit.eu ). We are looking
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For specific questions about these positions, please contact Dr. Nicole Scheunemann at nicole.scheunemann(at)senckenberg.de . For data protection information on the processing of personal data as part of
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University Hospital thus offers high research efficiency and an excellent research environment. The group of Christian Schmidl (https://lit.eu/our-scientists/dr-christian-schmidl/ ) is looking for a highly
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Kristallzüchtung actively promotes the development of young scientists and adheres to the guidelines of the Leibniz Association. For more information, please contact: Priv.-Doz. Dr. R. Radhakrishnan Sumathi
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green lab in Germany. For more information please contact: Prof. Volker Haucke; e-mail: haucke@fmp-berlin.de . Homepage: www.leibniz - fmp.de/haucke How to apply: On the FMP homepage please go to “https
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responsibilities: support our research on the political economy of climate policies take part in data science and empirical analyses contribute to assessments of cause-effect-relationships in the domain of climate