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This position is embedded in the AIR-MoPSy project (Atmospheric Impact on the R-Mode Positioning System), which supports the development of a terrestrial backup to satellite-based navigation systems. GNSS (Global
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team to work on machine learning-supported rapeseed genomics and breeding. Your tasks: You design, train and interpret deep-learning models to predict regulatory gene variants in rapeseed genomes. You
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development. It is one of the world's leading research institutions in its field and offers natural and social scientists from around the world an inspiring environment for excellent interdisciplinary research
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- PhD student in quantitative verification interested in co-developing Automata Tutor - main developer of Automata Tutor Positions in the Formal Methods for Software Reliability group of TU Munich led by
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): Development of a metabolic pathway transfer and genomic integration system for the syngas-fermenting bacterium Clostridium ljungdahlii, Biotechnol. Biofuels 12:112 What you will do Cloning and construction
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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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carboxidivorans P7 is enhanced by in-line extraction with a biocompatible solvent to avoid product toxicity, Heliyon 7:e07732 Philipps et al. (2019): Development of a metabolic pathway transfer and genomic
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dedicated to advancing the understanding of the molecular mechanisms of hematopoiesis, granulopoiesis, and leukemia development. We also develop innovative gene therapy approaches for hematopoietic stem cell
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Max Planck Institute for Nuclear Physics, Heidelberg | Heidelberg, Baden W rttemberg | Germany | 8 days ago
in the field of ground-based gamma-ray astronomy, playing a central role in the development of major new facilities CTAO (Cherenkov Telescope Array Observatory) and SWGO (Southern Wide-field Gamma-ray
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Your Job: Develop and refine detailed models of power electronics and their control systems for stationary battery storage applications Focus on system identification and parameter optimization