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research group “Computational Integrative Biodiversity” (CIB) combines modern computational modeling with biodiversity theory as well as geohistorical and climatological data. We investigate how biodiversity
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biologging multi-sensor acoustic tags on bats and toothed whales in the wild and combine these data with array recordings, noise playbacks and phantom target generators on trained animals in the lab
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. RESPONSIBILITIES: Collaboration on research projects on translational research topics such as pseudoxanthoma elasticum (PXE) and age-related macular degeneration (AMD) Conducting in vivo studies, data analysis, and
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expressly encourage qualified women to apply. Given equal qualifications, preference will be given to female candidates. University of Vienna. Space for personalities. Since 1365. Data protection Application
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. Find more information on “Enzyme Engineering Group” here . Qualifications Completed PhD in the field of Biochemistry, Molecular Biology, Biotechnology or relevant field. Strong background in enzymology
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of the Research Group "Contemporary History of Luxembourg" For further information about this position, please contact Christoph Brüll: Your profile PhD in History, or a related field Demonstrated experience in
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experience is beneficial Experience with the analysis and interpretation of large data sets, in particular high-throughput sequencing data from eukaryotic organisms Solid skills in programming and scripting
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to prevent the onset of cancer. In parallel, our research is dedicated to advancing our understanding of bladder tumor evolution biology through the analysis of next-generation sequencing (NGS) data and the
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Research (HZI) in cooperation with the Julius-Maximilians-Universität Würzburg (JMU) and is located on the Würzburg Medical Campus. More information at www.helmholtz-hiri.de . Phages are viruses
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scientific results at conferences and in peer-reviewed journals Requirements Excellent doctoral degree in neuroscience or biophysics Experience in molecular biology, biochemistry, and electrophysiology; data