193 computer-science-quantum "https:" "https:" "https:" "https:" "https:" "University of Waterloo" positions at Leibniz
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science’ and biological electron microscopy approaches. PostDoc position (F/M/D): 4D-STEM analysis of hybrid materials JOB DESCRIPTION The INM Research Department Innovative Electron Microscopy is currently
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extensive support through the graduate school (IRTG:(https://sfb1436.de/de/graduate-school/). Your profile: MSc in Neurosciences, Life sciences or related fields Experience in behavioural and molecular
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: development and coordination of the wind erosion monitoring program, the development and adaptation of measurement methods and modelling approaches both in the ZALF part of the project and between the involved
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on the biology of snails and slugs? We are looking for an enthusiastic technical assistant in the Section Malacology of the Department of Zoology. Your Tasks Technical management of the invertebrate collection
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on the processing of personal data as part of the application and selection process, please refer to the privacy policy on our homepage at https://www.senckenberg.de/en/imprint/ Please visit our website
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measures and landscape metrics Preparation of manuscripts for publication Your qualifications: M. Sc. in Biology, Landscape Ecology, or a related field Experience with molecular lab work Command-line
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of agricultural tillage measures into physical parameters for modeling Your qualifications: a very good graded master degree in agricultural sciences, soil science, meteorology or related disciplines experiences
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-2025 Postdoc RENAT) in the field of political science and environmental policy, starting on 01.02.2026. The position is funded until 31.12.2026. Remuneration is in accordance with the German public
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the framework of de.NBI and ELIXIR Your profile: You hold a university PhD in bioinformatics, computer science or a related discipline experience in algorithms, software engineering and statistics You are able
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track record in biological, agricultural or environmental sciences. Sound statistical or programming skills to study biodiversity in space and time are required. Candidates must have demonstrated