114 algorithm-development-"Multiple"-"Prof"-"Prof"-"SUNY"-"Simons-Foundation"-"St" positions at Leibniz in Germany
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Mindset’ Cluster of Excellence and in collaboration with the University of Bremen and other research institutes, we are hiring a motivated research associate to contribute to the development of resource
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range of opportunities for personal and professional skill development. Magdeburg offers excellent opportunities for cognitive and systems neuroscientific research, including a vibrant and growing in vivo
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and applications in epidemiology. Responsibilities: Develop new statistical methods for secondary data analysis and apply them to GePaRD data Develop and prepare statistical analysis plans for target
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and socially sustainable agriculture – together with society. ZALF is a member of the Leibniz Association and is located in Müncheberg (approx. 35 minutes by regional train from Berlin-Lichtenberg
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The Innovative Electron Microscopy Department develops and applies electron microscopy methodologies for nanoscale and atomic-resolution characterization of soft functional materials and their
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professional skill development. Magdeburg offers excellent opportunities for cognitive and systems neuroscientific research, including a vibrant and growing in vivo two-photon imaging community, as
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, much of which is incinerated – resulting in the loss of valuable raw materials and additional CO₂ emissions. This project aims to develop a high-quality, sustainable alternative to carbon black from
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, covering the involved actors and political dynamics on both sides, escalation risks and the military balance of power Collaborating on the development of conflict scenarios for an AI-supported scenario
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collaborations between the DSM and other maritime (and related) museums Scientific documentation of results in the collection database and other suitable repositories Co-development of provenance-critical and
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scientific knowledge. Its nationally accredited Research Data Centre (RDC) supports this mission by providing secure access to complex, sensitive microdata and by developing infrastructure that enables high