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in statistics, applied mathematics, big data analysis, and computer science. The main purpose of the fellowship is to qualify researchers for work in higher academic positions within their disciplines
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learning, mathematics, data science, computer science or another relevant field. Doctoral dissertation must be submitted for evaluation by the closing date. Appointment is dependent on the public defence of
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Qualification requirements A master’s degree in a relevant discipline (e.g., statistics, mathematics, informatics, genetics, medicine, psychology, or an equivalent field). Strong expertise in statistical genetics
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