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- Leibniz-Institute for Food Systems Biology at the Technical University of Munich
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develops and applies methods for uncertainty quantification, engineering reliability, and risk & decision analysis to support optimal and sustainable decision-making in engineering and environmental systems
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infectious diseases, antimicrobial resistance, medical decision making and population health metrics. Interest and experience in empirical applications of economic theory, the analysis of large health data
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of the PRIDAS is developing and providing data science support services, processing and analysis methods, as well as management of highly complex multimodal data. Our research with primates involves a combination
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Your Job: This PhD project focuses on modelling and simulating future gas grids, exploring transformation pathways, and developing cross-sectoral simulation frameworks to support informed decision
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/div) The central task of the PRIDAS is developing and providing data science support services, processing and analysis methods, as well as management of highly complex multimodal data. Our research with
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simulations Enhanced sampling Molecular Dynamics simulations Your Profile The ideal applicant has a strong background in bioinformatics or computational chemistry, as well as data analysis and solid
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to agricultural land managers and decision-makers. We are offering a 65% (26h/week) part time position temporarily limited for 3 years at our location in Müncheberg as a PhD student (f/m/d) Your tasks: installation
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Leibniz-Institute for Food Systems Biology at the Technical University of Munich | Freising, Bayern | Germany | 10 days ago
, as well as data analysis and solid English-language skills. Experience with programming is highly recommended. Above-average interest in the topic, we consider self-motivation and the ability to face
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Profile The ideal applicant has a strong background in bioinformatics or computational chemistry, as well as data analysis and solid English-language skills. Experience with programming is highly
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in the STEM disciplines are primarily attributable to the genius of individual visionary figures or rather to synergetic team efforts. Through a systematic analysis of at least 50 key examples from