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field of biology, and should possess considerable mathematical abilities as well as laboratory experience in microbiology with at least some experience in microbial growth. A publication record in
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Spectrometry infrastructure at the University of Vienna Biology Building (UBB) is equipped with diverse online-separation techniques and Mass Spectrometry instruments, enabling a wide range of applications
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the faculty’s ongoing research activities in the field of applied and computational PDEs in a coherent manner. Current research covers a wide range of applications, including biology, materials science, and
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The University of Vienna is a community of over 10,000 individuals, including approximately 7,500 academic staff members, who passionately pursue answers to the profound questions that shape our future. Fueled by curiosity and a deep sense of duty, they contribute invaluable insights to research...
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international research and academic excellence. Ready to be part of our team? Let’s shape the future together! Your personal sphere of play: The Department of Network Biology at the University of Vienna is
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are seeking a highly motivated and talented PhD candidate ideally with some research expertise to join our research group for an project linking plant biology, microbiology, and environmental science. The
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personality: A completed Master's degree in Data Science, Physics, Chemistry, Computational Biology, Bioinformatics, or a related field. Strong programming skills in Python, R, or similar languages. Experience
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in biology, molecular biology, or equivalent qualification with signed doctoral thesis agreement Excellent academic and study records Excellent command of written and spoken English High ability
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biological (sequence data, microscopy) and chemical-analytical (mass spectrometry) data and data analysis. Design and delivery of tailored training sessions on research data management and open science
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. Ready to be part of our team? Let’s shape the future together! Your personal sphere of play: The Ries lab is developing super-resolution microscopy methods for structural cell biology. In this project we