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Leibniz Institute for Food Systems Biology at the Technical University of MunichFood Systems Biology at the Technical University of Munich | Freising, Bayern | Germany | about 10 hours ago
between the human organism and food ingredients. The working group "Molecular Modeling" at Leibniz-LSB@TUM is looking for a PhD student to start on 01/07/2024. Project: Advancements in structural biology
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of human genetic variation, including polymorphisms (http://www.nature.com/articles/ng.3831 ; academic.oup.com/mbe/article-abstract/36/8/1701/5475505 ) and de novo variants (www.nature.com/articles/s41467
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the genome (www.nature.com/articles/s41467-017-00100-x ). We are also interested in mutation rates and selection inference in the context of human genetic variation, including polymorphisms (http
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the complex interplay between the human organism and food ingredients. The working group "Molecular Modeling" at Leibniz-LSB@TUM is looking for a PhD student to start on 01/07/2024 Project: Advancements in
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amount of ca 4300 PLN (3800 PLN net) for the period of 19 months with a possible extension. Ph.D. students shall be subject to social insurance, pursuant to the article. 6 section 1 passage 7b of the act
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for its "international outlook," #20 in the Young University Ranking 2021 and among the top 250 universities worldwide. The Faculty of Humanities, Education and Social Sciences (FHSE) brings together
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scientific discoveries to improve human health locally and around the globe. Composed of more than 2,600 faculty physicians and researchers, nearly 2,000 students, and more than 6,200 staff, the Duke
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information, visit www.pcr.uu.se . We seek one researcher to work within the project Societies at risk: The Impact of armed conflict on human development, which started up in January 2022 with funding from
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processes at all levels, from molecular structures and cellular processes to human health and global ecosystems. The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS) aims
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, analyze and implement algorithms where the network vertices act independently by learning from their local observations. You will mathematically analyze the algorithms on random graph models and implement