184 web-programmer-developer "https:" "https:" "https:" "UCL" "UCL" positions at Leibniz in Germany
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The Leibniz Institute for Solid State and Materials Research Dresden e. V. (IFW Dresden) conducts modern materials research on a scientific basis for the development of new and sustainable materials
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REST-based systems web-based front-end development (esp. typescript, vuejs, webGL) experience (theory & practice) with relational databases (esp. PostgreSQL) strong interest (ideally experience) in
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with free admission to municipal museums – annual special payment – collectively agreed vacation entitlement – company pension plan (ZVK) Senckenberg is committed to diversity. We benefit from
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– company pension plan Senckenberg is committed to diversity. We benefit from the various expertise, perspectives and personalities of our staff members and welcome every application from qualified candidates
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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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institutions, and a research and development provider for numerous companies throughout the world. The INM is a member of the Leibniz Association and has about 250 employees. The INM research group Structure
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the development of local public infrastructure and amenities in Germany over the past decades. We combine novel data from German phonebooks and digital maps to provide academia, policymakers and the general public
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, industrial and energy systems into a sustainable bio-based circular economy. We develop and integrate techniques, processes and management strategies, effectively converging technologies to intelligently
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development Interesting, varied and challenging tasks and family-friendly working conditions Company pension plan (VBL) Company health promotion and the opportunity to participate in company fitness with EGYM
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assimilation. The task for the successful candidate is to generate atmospheric fields for given time instances that are as close as possible to a given set of pointwise observations. The candidate will train a