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candidates will have a strong background in computational biology, with demonstrated experience in using long-read DNA sequence data, genome assembly and comparative analyses of complex genomes. Successful
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. A healthy work-life balance in a work-play-live environment. We are looking for an independent scientist, who is passionate about synthetic biology and generative biology, and is excited by
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skills in bioinformatic data analysis, pipeline implementation (and possibly development), and programming. The ideal candidate will have a Ph.D. in bioinformatics, computer science, biotechnology, biology
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language processing, computational biology and healthcare. Our group focuses on important and fundamental open problems in machine learning research and challenging applications in diverse fields (e.g., biology and