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complex biological systems. Research Environment & Collaboration The successful candidate will work at the interface of machine learning and biostatistics, developing new theory, algorithms, and scalable
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candidate will work at the interface of machine learning and biostatistics, developing new theory, algorithms, and scalable implementations. By establishing a new class of multi-frame factorization methods
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-term ethnographic fieldwork Willingness to work interdisciplinarily, across borders and institutions, and as part of a larger team Personal suitability and motivation for the position Excellent command
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