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Field
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, or custom software applications. * Develop and implement algorithms, control systems, and software applications for robot operation and autonomy. * Create and optimize the mechanical components and structures
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by identifying “the right drug for the right patient at the right dose”. The candidate will also work with, and be co-mentored by, exceptional scientists in Human Genetics and Computational Sciences
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algorithms that integrate general and domain-specific knowledge with data, laying the foundations of next generation machine learning. This will be done by combining the mathematical and computational cultures
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Research Director – National Tutoring Observatory, Information Science Cutting-edge research is an integral part of the NTO’s mission. As such, the successful candidate will work closely with
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on available work, funding, and performance. Anticipated Division of Time (30%) Direct research program in AI/ML applications for climate science, including supervising team members, developing novel algorithms
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that integrate simulation, machine learning, and data analysis. Numerical optimization methods (e.g. machine learning including deep neural networks, reinforcement learning, data mining, genetic algorithms
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Research Scientist Required Qualifications: (as evidenced by an attached resume) Doctoral degree (or foreign equivalent) in Electrical and Computer Engineering or a closely related field. At least
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Preferred Qualifications: Experience with one or more of the following: Building novel 3D and super-resolution ultrasound systems. Developing deep learning algorithms for 3D biological data. Designing and
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Research Scientist Required Qualifications: (as evidenced by an attached resume) Doctoral degree (or foreign equivalent) in Electrical and Computer Engineering or a closely related field. At least
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