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Leibniz-Institute for Food Systems Biology at the Technical University of Munich | Freising, Bayern | Germany | about 1 month 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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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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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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. To this end, ion irradiations with iron (Fe) and helium (He) ions are applied to experimentally emulate fusion-specific damage phenomena such as hardening, swelling, and embrittlement. A particular focus is on
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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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laboratory experimental work You combine an efficient working style with attention to detail and goal-oriented thinking You are skilled in using basic analytical tools (e.g., MS Office) You have basic
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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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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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. The program will equip doctoral candidates with the technical, analytical, and ethical skills needed to lead the future of patient-centered, AI-driven medicine. The advertised PhD project aims to develop robust