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that change! Qualifications The position requires a PhD degree in electrical, computer or biomedical engineering, computer science, or a closely related area. The successful candidate is expected to develop
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. Experience with total internal reflection fluorescence (TIRF) microscopy. Ability to perform image analysis and processing (e.g., ImageJ/Fiji) The following backgrounds are considered an asset or highly
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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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