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the facility’s function, analytical methods, and ensure that results are reported both orally and in writing to the platform’s project groups. The unit consists, in addition to the HoU, of four employees with
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. The student will work in a group addressing all these challenges, developing new AI-based methods to improve biological realism in simulations which will lead to more accurately inferred GRNs from real data
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dynamics of plasmid copy number in pathogenic bacteria, with a strong focus on infection biology and evolution of antibiotic resistance. The goals for this project are i) to better understand the role
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academic background with thorough computational and analytical understanding; Proficiency in programming in Python and deep learning frameworks such as PyTorch and TensorFlow; Excellent communication skills
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analytical understanding; Proficiency in programming in Python and deep learning frameworks such as PyTorch and TensorFlow; Excellent communication skills in oral and written English; Creativity, thoroughness
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such as: Good analytic skills, good collaboration and communication skills. Ability to work independently and to drive projects based on personal initiatives. Good skills in organization and planning work