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expected to develop and lead projects. Ideal candidates will have knowledge of population genomics, machine learning, and evolutionary theory. Candidates should have a strong track record of publication; be
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, innovative system designs, and advanced algorithms to shape the future of immersive experiences. QUALIFICATIONS: Ph.D. in Computer Science, Electrical Engineering, or related fields. Strong background in AR/VR
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optimization of optical imaging hardware, develop data acquisition software and algorithms for data processing, as well as perform phantom and human clinical studies. This candidate is expected to co-supervise
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properties of macromolecules, developing novel ways to combine quantum chemical methods and machine learning, developing quantum algorithms for computational chemistry on quantum computers, and applying