49 web-programmer-developer-"https:" "https:" "https:" "https:" "https:" "Newcastle University" PhD positions at Leibniz in Germany
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The Leibniz Institute for Prevention Research and Epidemiology – BIPS in Bremen, Germany, invites applications for its three-year PhD program starting October 1, 2026. BIPS, a leading center for
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environment. The candidate will be given the opportunity to develop a doctoral thesis with extensive support through the RTG2413 (www.synage.de ) and the CBBS graduate program (gp.cbbs.eu ). Your profile
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. International young and experienced scientists from various disciplines develop interactive materials based on the principles of nature. It is a location at which people with different talents, experiences and
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institutions, and a provider of research and development for companies throughout the world. The INM is an institute of the Leibniz Association and has about 250 employees. INM’s research group Immuno-Materials
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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 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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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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The Leibniz-Institut für Analytische Wissenschaften - ISAS - e. V. develops efficient analytical methods for health research. Thus, it contributes to the improvement of the prevention, early
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to the exploration of novel genetic tools and resources that could facilitate further genetic exchange among Hordeums. Your tasks: Phenotypic characterization of a global collection of Hordeum Bulbosum. Development
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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