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EU MSCA doctoral (PhD) position in Materials Engineering with focus on mechanistic study of high cor
process-performance correlations and suggest the strategies for reducing corresponding degradation rates. The best performing alloys will be tested in vitro at Hydrumedical using in house-developed flow
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on the host cell for their life cycle. For initial infection and cell entry, viruses hijack cellular processes such as signaling, membrane trafficking, intra- and intercellular transport, nuclear import and
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partner from data sciences provides data management and AI based Image analysis, an internal experimental group, and an internal simulation-sciences group (You+Supervisor+support by lab
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their scientific insights. All training is in English. The research The mission of our IMPRS is to study fundamental biological processes in plants and to create knowledge and material that can empower innovative
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measurements for degradation performance. A range of Mg- and Zn-alloys will be produced at Uppsala Universitet in cooperation with doctoral candidates there, to reveal process-performance correlations and
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determinants of protection against CMV infection and disease and develop innovative vaccine concepts. You will use state of the art virus mutagenesis, real-time imaging of virus infection dynamics
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data analysis (e.g., Python, R, C++, MATLAB), computational modeling, imaging and sensor data processing, bioinformatics, systems biology, or biophysics. Familiarity with simulation environments
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, real-time imaging of virus infection dynamics, multiparametric flow-cytometry and single-cell transcriptomics to identify and optimize highly innovative antiviral vaccine concepts in collaboration with
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Max Planck Institute for Heart and Lung Research, Bad Nauheim | Bad Nauheim, Hessen | Germany | 3 days ago
. The institute has a history of more than 90 years. Since its re-founding in 2005, our major goals are to investigate cellular and molecular processes in organ development as well as under pathological conditions
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one of the following areas: scientific programming and data analysis (e.g., Python, R, C++, MATLAB), computational modeling, imaging and sensor data processing, bioinformatics, systems biology, or