23 machine-learning "https:" "https:" "https:" "https:" "The Open University" Postdoctoral positions at Leibniz
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-party research funding are expected. We are particularly interested in a candidate in any field of economics who leverages state-of-the-art machine learning and causal inference methods to innovative
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work together, in order to learn from one another and generate new knowledge and new methods to create a better quality of life in our world. DWI offers you a wide range of possibilities to develop
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funded German research initiative. Project Description: Carbon black is an indispensable component of numerous everyday products – from car tires and seals to paints and plastics. However, its production
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between biodiversity and climate change. The postdoctoral position is embedded in the the collaborative project Past to Future: towards fully paleo-informed future climate projections (P2F; https
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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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for extension. The Milles lab (https://www.leibniz-fmp.de/milles ) uses and develops integrated single molecule fluorescence and NMR spectroscopy approaches to study intrinsically disordered proteins with the aim
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: Prof. Stephanie Pfänder) https://www.leibniz-liv.de/forschung/forschungseinheiten/emerging-viruses . Candidate requirements: PhD in a relevant field (virology, immunology, molecular and cell biology
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-page motivation letter, contact details for reference letters) by December 15th, 2025. Please use our online application system - https://www.leibniz-inm.de/en/job-offers-2/ The INM practices an open and
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21st November 2025 to (see button e-mail application below). https://jobs.zalf.de/jobposting/a4f0c4261f5c47c842a110e848286968d9a7d9280 If you have any questions, please do not hesitate to contact us: Dr
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The Leibniz Institute for Neurobiology (LIN) is an internationally recognized neuroscientific research institute and dedicated to the research on learning and memory. Our research comprises all