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Association. Our institute integrates cutting-edge biomolecular research, bioinformatics, and high-performance analytical technologies to explore the complex interactions between the human organism and food
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experience in organic chemistry and/or polymer chemistry Experience with analytical methods for polymer characterization Very good knowledge in electrochemistry Very good written and spoken English skills You
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of bacterial pathogens and host cells. Graphene-based strategies will be developed to facilitate chemical rupture and homogenization of small numbers of bacterial and eukaryotic cells. This pipeline will be
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environment. The institute also is a key pillar for cellular analytics and biophotonics within the Stuttgart Research Center Systems Biology, one of the largest German inter-faculty infrastructures for systems
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Leibniz-Institute for Food Systems Biology at the Technical University of Munich | Freising, Bayern | Germany | 20 days ago
, is a prominent member of the Leibniz Association. Our institute integrates cutting-edge biomolecular research, bioinformatics, and high-performance analytical technologies to explore the complex
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geotechnical barriers. Carbonate minerals such as siderite (FeCO3) play a central role in clay formations and as secondary phases on corroded waste containers. Iron-reducing bacteria can also form this mineral
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analytical and problem-solving skills as well as a proactive, team-oriented working style. Very good to excellent command of written and spoken English; German language skills are an advantage but not required
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and a growing number of PhD students from the TUM School of Management and the TUM School of Information Technology The opportunity to conduct innovative research in marketing analytics Access
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, bioinformatics, and high-performance analytical technologies to explore the complex interactions between the human organism and food components. To strengthen our research group Molecular Modeling / Section III
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) with the Ludwig-Maximilians-Universität München (LMU), the Technical University of Munich (TUM), and the Leibniz Supercomputing Center (LRZ), and an increasing number of industrial partners. MUDS is