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and very good knowledge in quantitative and qualitative research methods Good knowledge of statistical software (e.g. SPSS or STATA or R or JASP) Strong commitment and the ability to work in a team
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. This PhD is part of the ChiraPeT project (Deciphering the Influence of Chirality on Photoinduced Electron Transfer Processes), funded by the ANR. The project aims to develop novel molecular tools
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of explainable attributes to describe human behavior and self-reports as well as to make progress in the computational models of the human mind. Your main tasks, as a PhD candidate, are the following: Conduct
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existing large datasets with rich information for knowledge synthetisation and triangulation over the course of the PhD project is encouraged. The successful candidate will be affiliated with the Institute
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a powerful model for uncovering muscle-specific protective processes. Yet, significant gaps in our knowledge have hampered advancement in this field including the lack of molecular markers and
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in epigenetic analysis will be an asset Strong interest in bioinformatics and computational analysis will be an advantage Self-motivated, strong commitment, and ability to work in a team Fluent written