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Doctoral Network, we invite applications for up to two PhD positions working on challenging theoretical and practical problems in Safe Machine Learning. Specifically, we are looking for students to tackle
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industrial components. Different alternatives will be explored and analyzed, in the field of machine learning, that allow relevant information to be extracted from the data. Research and develop AI models
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between genes. Techniques used will include the construction and validation of large DNA variant libraries, high-throughput pooled selection experiments, bioinformatics and machine learning About the lab
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