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research projects will focus on spectroscopic investigations of ultrafast dynamics in organic molecular semiconductors. As a PhD student in the group, you will use advanced ultrafast spectroscopy techniques
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equivalent in Mathematics, Computer Science, or Statistics Proficiency in one or multiple programming languages (R, Python, Julia, MATLAB) Interest in infectious disease dynamics, public health, global health
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infection with high spatial and temporal resolution Characterize transcriptome, proteome and interactome dynamics in advanced virus infection models Work with diverse RNA viruses (IAV, RSV, SARS-CoV-2, DENV
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data integration, cancer systems biology, and single-cell analysis, with strong links to clinical and translational oncology. Our work is based in the dynamic research environment of Heidelberg
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fellows (f/m/d) The place of employment is Heidelberg, in the interdisciplinary Research Training Group (RTG) 2840 entitled “Ambivalent Enmity: Dynamics of Antagonism in Europe, Asia and the Middle East