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unintended consequences. The project relies on longitudinal school network data and advanced quantitative and computational methods. WHAT YOU WILL DO Work with longitudinal classroom network and survey data
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interest in cell biology (DNA repair field), microsccopy and processing of large datasets Strong English language skills – both spoken and written Eager to learn innovative approaches in data analysis
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(CV) Academic transcripts (Bachelor’s and Master’s degrees) Contact information for up to two academic referees In case of any troubles with the e-application, please contact Petra Linhartová
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your research interests and relevant experience A detailed curriculum vitae (CV) Academic transcripts (Bachelor’s and Master’s degrees) Contact information for up to two academic referees In case of any