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general aim is to develop new conceptual frameworks and models for the study of biological complexity, focusing on the intersection of development and evolution. The research group is primarily theoretical
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, computer science, statistics or a related quantitative discipline. Experience developing and applying deep learning or AI/ML methods to complex scientific datasets. Strong programming and scientific computing skills
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