186 web-programmer-developer-"https:" "https:" "https:" "https:" "https:" "https:" "University of Kent" positions at Leibniz in Germany
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The Innovative Electron Microscopy Department develops and applies electron microscopy methodologies for nanoscale and atomic-resolution characterization of functional materials and their interfaces
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Müncheberg (approx. 35 minutes by regional train from Berlin-Lichtenberg). It also maintains research stations in Dedelow and Paulinenaue. With its Tenure Track System, ZALF aims to recruit excellent
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systems. Key Responsibilities Develop graph-based (multi-)omics analysis algorithms Benchmark graph-theoretic against graph-ML approaches Analysis of food-related (multi-)omics data Your Profile The ideal
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The Leibniz Institute for Jewish History and Culture – Simon Dubnow is seeking to fill the following position by 1 May 2026: Research Associate “Ignaz Goldziher Program for Jewish-Muslim Studies
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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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preparation for sequencing) Work with state-of-the-art microarray and imaging systems. Analyze experimental data statistically and contribute to method development and troubleshooting. Ideal Applicants Must
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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 Energy Materials Group
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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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Brandenburg. Support data analysis using pre-developed scripts in R Your qualifications: Currently enrolled in a Bachelor’s or Master’s program in Environmental Sciences, Engineering, Agriculture, Horticulture
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the form of graphs to analyze and predict food-effector systems. Key Responsibilities Develop Probabilistic Machine Learning Models to integrate graphs and food-related omics data Multi-omics integration