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school, and taking part in the supervision of students. A limited amount of teaching may be included (max 20%). Requirements PhD degree in machine learning, scientific computing, statistics, physics or a
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science, scientific computing, mathematics, statistics or a related field, or a foreign degree equivalent to a PhD degree in machine learning, computer science, scientific computing, mathematics, statistics or a
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and variation. The successful candidate will develop innovative methods and models to advance our understanding of genome evolution and variation. The position is based in the Computational Genomics
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