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years of experience post receiving their PhD). A strong preference is for individuals with (a) computer science or computer engineering degrees with previous experience in natural language processing
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techniques such as metadynamics, UFED, path sampling, milestoning methods; machine learning applications in chemistry and biophysics, good computer programming skills, and working knowledge of UNIX, phyton
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main PhD focus) such as additive manufacturing, advanced/hybrid manufacturing, machine learning, artificial intelligence, computer vision, robotics, UAVs, etc. is a plus. Other preferred qualifications
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