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about the network as a whole, its scientific content, and the application and selection process here . All positions are fully funded, with very competitive salaries. More information on funding from
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• Certified copy of diploma or expected date of graduation (Master’s degree in a relevant field) Shortlisting may be used in the assessment process. Further information about the PhD-study can be found
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models and machine learning and text analysis using natural language processing will be an integrated part of the project hence knowledge, skills, and interest in these areas will be an advantage. We
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the value of the green transition. The project will involve a multi-stakeholder innovation process, utilizing a framework of multiple-loop learning to encourage farmers to reflect on their relationship with
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CRISPR screenings using both in vitro and in vivo disease models to identify key drivers of aging and disease pathology. The research will focus on gene regulatory networks that influence the aging process
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for at least 2 referees who can vouch for your skills Shortlisting may be used in the assessment process. Incomplete applications and applications received after the deadline will neither be considered nor
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to identify key genetic and epigenetic factors that drive disease progression and aging processes at the cellular and tissue levels. Additionally, there may be opportunities to engage in wet-lab experiments
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-mail) of at least two referees details for at least 2 referees who can vouch for your skills. Shortlisting may be used in the assessment process. Incomplete applications and applications received after
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Shortlisting may be used in the assessment process. Shortlisted applicants will be assessed by an assessment committee. Applicants will be informed of their assessment by the Faculty. As part of the overall