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engineering Knowledge of machine learning (deep learning) Basic knowledge of computer science or software development, e.g., using Java, Python, or C++ Good communication and information skills, goal-oriented
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program providing broad interdisciplinary training and education Opportunity to develop your individual skillset Intensive support, mentoring and career development Secondments in partner institute abroad
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of microorganisms and develop new natural product-based active substances for the treatment of infectious diseases. The junior research group (Epi-)Genetic Regulation of Fungal Virulence: https://www.leibniz-hki.de
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on Cognitive NeuroImaging aims to recruit and educate international, motivated, curious, independent, self-organised and highly talented doctoral researchers who wish to extend their knowledge and research
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is a vibrant international doctoral program with about 75 doctoral students from more than 25 different countries. Our mission is to support students to develop into creative, critical, responsible and
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, providing access to cutting-edge technologies, cross-disciplinary expertise, and exceptional opportunities for training and career development. More information: www.genomicc.de Interested candidates should
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to uncover how microbiota-derived metabolites influence the endothelial barrier function and neutrophil transmigration, with an emphasis on their implications in aortic disease development and progression. A
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the mechanisms that generate and resolve DNA damage. We have developed and routinely apply high-resolution mapping technologies — including LAM-HTGTS for direction-resolved DNA break mapping, Hi-RepliSeq
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training and professional development as well as further qualifications ans special offers in the areas of shopping, travel and sports Dedicated project-specific resources to improve the compatibility
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with access to state-of-the-art facilities and equipment. Job Description develop novel approaches to study transcriptional regulation involving RNA and RNA-binding proteins during virus infection