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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, including proteomics and metabolomics
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Your research will focus on airborne in-situ observations of coarse mode aerosols (including biological particles) and clouds You will develop novel methods and analysis tools for in-situ aerosol and
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dissertation • Experience in the field of stress, particularly prevention and intervention • Experience with biological methods (e.g., hormone measurements) • Experience with digital stress
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progress on your doctoral thesis through related milestones during the time of the short-term contract. This is part of your personality: Diploma or master’s degree in biology, molecular biology, or
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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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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 astrophysics, and uses
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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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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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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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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