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heritage, materials science, and physics. Supported by 19 countries, the ESRF is an equal opportunity employer and encourages diversity. Context & Job description Thesis subject: Dynamic structural
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a decision taken by the IMPRS. For more information on this, please check the website of the LMU Munich at https://www.physik.lmu.de/en/research/doctoral-study-and-habilitation/doctoral-study
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using graph-structured prior knowledge Analyze food-related (multi-)omics data Your Profile The ideal applicant has a strong background in bioinformatics and/or probabilistic machine learning, as
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microbiome structure and function contributing to recurrent urinary tract infection (rUTI) in postmenopausal women. A current major research focus of the De Nisco lab is the role of the urogenital microbiome
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portal of Dahlem Research School (DRS): https://www.drs.fu-berlin.de/ Structured research and supervision Yes Research training / discussion Yes Career advisory services and programmes for future
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ATMPs via the European Medicines Agency: https://www.ema.europa.eu/en/human-regulatory-overview/advanced-therapy-medicinal-products-overview If you are curious, internationally minded, and driven by a
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preferred Excellent project management and organizational skills Outstanding oral and written communication skills, with the ability to deliver clear, accurate, and well-structured scientific writing Strong
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includes https://doi.org/10.1101/2025.0... and https://doi.org/10.64898/2025.... Profile You have: An MSc (or equivalent) in structural biology, cell biology, biophysics, bioengineering
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evolution, with the aim of unravelling the nature of biological intelligence. World class scientific research work is at the core of the IMPRS-BI mission. We offer an English-speaking, structured PhD
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, Transparent and Merit-based Recruitment (OTM-R). Where to apply Website https://selection.uoc.edu/web/profile/login.aspx Requirements Research FieldComputer scienceEducation LevelPhD or equivalent Specific