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research experience in phylogenomics. You should have a strong background in bioinformatics, statistical phylogenetics and comparative genomics. Previous experience of working with de novo assemblies and
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sequencing methods. Specific experience with food science, environmental science, forensics or research commercialization are desirable but not necessary. The candidate must be highly motivated, creatively
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. Machine learning: experience with algorithms such as nearest-neighbor, simplex projection, recurrent neural networks, singular value decomposition and/or autoencoders; experience in frameworks like
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