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Field
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space. We quantify these changes, identify their causes and describe their impacts on biodiversity and ecosystem ser-vices. To do this we use a combination of diverse methods, from empirical research
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curiosity. Enthusiasm for innovative questions and enjoyment of independently developing research methods Our Offer: We work on the very latest issues that impact our society and are offering you the
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related field Experience in molecular biology methods (e.g. PCR, NGS, cell culture) and/or functional cell assays Interest in translational leukemia research and innovative imaging and omics technologies
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and exploration of novel P-compounds. Characterization of the obtained products and intermediates via spectroscopic methods such as NMR, UV-vis, IR/Raman, mass spectrometry and X-ray structure
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of their studies, students are exposed to a wide range of scientific questions and methods covering molecular medicine, neuroscience, and clinical psychiatry. Methods range from molecular genetics over
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of various electrochemical (EIS, LSV, CV, galvanostatic cycling, plating-stripping experiments), spectroscopic (NMR, FT IR, Raman, UV-VIS, XPS) and safety-related methods You investigate the interfaces between
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on investigating the change in the catalysts surface under relevant process conditions using spectroscopic analysis methods. Your task will include: Application of established and novel methods for the preparation
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biology, biomedicine, biotechnology, bioinformatics or a related field Experience in molecular biology methods (e.g. PCR, NGS, cell culture) and/or functional cell assays Strong interest in cancer biology
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for biological image data, scalable computer vision methods preparation of publications for submission to top-tier machine learning conferences contribution to teaching and/or supervision of Bachelor's and
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PhD Position in Theoretical Algorithms or Graph and Network Visualization - Promotionsstelle (m/w/d)
evaluation methods Interactive systems for exploring complex networks Candidates interested in theoretical computer science will have the opportunity to work on topics such as graph algorithms, computational