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Skłodowska-Curie (MSCA) funded European doctoral network that unites leading institutions to train a new generation of researchers in health economics, causal inference, and the analysis of large-scale
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Skłodowska-Curie (MSCA) funded European doctoral network that unites leading institutions to train a new generation of researchers in health economics, causal inference, and the analysis of large-scale
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variable renewable energy (VRE) output will enable the analysis of structural changes to the power sector and its coupling with adjacent sectors for heat, industrial demand, and transportation. From a policy
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: Experience studying digital practices, online communities, or cybercrime Experience with qualitative research methods, such as digital ethnography, interview studies, or text analysis Documented experience in
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synchrotron techniques such as X-ray photoelectron, absorption and fluorescence spectroscopies, and X-ray diffraction will be used for real-time analysis. Measurements will be conducted in controlled
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and textural parameters affect separation and purification efficiency. - Scientific writing, data analysis, and dissemination of results in journals and conferences as well as reporting within
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efficiency. - Scientific writing, data analysis, and dissemination of results in journals and conferences as well as reporting within the project. Qualifications To be eligible, you must have a master's degree
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data. You will be required to gain in-depth understanding of data analysis in cryo EM. Depending on your background and interests, the emphasis of the project will be adapted and can focus more on method
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and how these processes are affected by sex hormones. The doctoral student will use a variety of methodologies such as multi-color flow cytometry, RNA-seq, multiplex secretion analysis, high throughput
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crystallization of protein, performance of time-resolved crystallography experiments at Free electron laser sources, and advanced data analysis of the time-resolved crystallographic data in terms of structure and