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. Bonus lectures can be picked by the students depending on their interests and project-specific requirements. Students can deepen their knowledge about selected topics (e.g. Bayesian Statistics, HMMs, AI
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possible in individual projects. The priority objectives are: 1. The provision of a modern, high quality professional training, which will furnish students with above-average qualifications for
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for a researcher as of the Feb. 1st, 2026 (PhD position) as part of the reserach project BANNER. Your tasks: Develop AI algorithms for real-time fault detection, fault classification, and failure-mode
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processes related to carbon cycling in the soil-plant system Experience with Bayesian inference and machine learning is an asset Ability to work independently and cooperatively as part of an interdisciplinary
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of personalized microbiome-based strategies to aid in the detection, monitoring, treatment, and prevention of human diseases (e.g., Li et al., Nature Metabolism, 2024; Ni et al., Cell Metabolism, 2023; Leung et al
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the 01.02.2026 at the following conditions (PhD position): 50% = 19,92 hours Pay grade 13 TV-L limited 30.11.2028 Your tasks: Develop AI algorithms for real-time fault detection, fault classification
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processes and – in light of the continent’s specific contemporary challenges – to the multifaceted aspects of peace and security in Africa. The general objectives of the PhD programme are to produce scholars
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written and spoken English skills are required. Our programs PhD Infection Biology/ DEWIN: The program's objective is to investigate the complex interactions between host and pathogen as well as basic
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selection symposium (March 10 - 11, 2026). Find out more and apply online Coordinator: Dr. Steffi Rothhardt Hans-Knöll-Str. 10 07745 Jena Germany Tel. +49 3641 576260 imprs-gbgc@bgc-jena.mpg.de
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period of time to find accommodation. For further information, please visit the following link: https://www.lmu.de/en/study/important-contacts/international-office/index.html . Rooms in shared flats