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* This position requires a PhD, preferably in microbiology, molecular biology, bioengineering, chemistry, or related discipline preferred. Candidates must be interested in working with technical aspects of cancer
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. The projects may also include to tackle benchmarking problems such as SAT, image processing, graph theories, boson/fermion sampling by applying classical machine/deep learning, neural network techniques and
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