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rapid, targeted gene evolution while preserving host viability, enabling us to study fundamental evolutionary processes and develop new molecular solutions for problems in the areas of health and
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are desirable. We particularly encourage applicants with expertise in Multi-scale Modeling, Evolutionary Computation, Diffusion models, Reinforcement Learning. The successful candidate will work in a highly
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potentially meta-transcriptomic sequencing data alongside phenotypic and other veterinary data generated by project partners at NMBU. This integration could involve conducting statistical and computational
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Details Title Postdoctoral Fellow in Molluscan Cell Biology, Cell Line Development, and Organoid Engineering School Faculty of Arts and Sciences Department/Area Organismic and Evolutionary Biology
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, Skills and Experience: Completed a PhD in a relevant field (e.g., synthetic biology, bioengineering, genetics, molecular biology, evolutionary biology, computational biology and AI, cell biology, genomics