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Field
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machine learning methods to improve the understanding, treatment and prevention of human disease. The successful candidate will develop novel statistical and machine learning algorithms to address key
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in their computation. We want to understand the fundamental principles that permit us to build privacy-aware AI systems, and develop algorithms for this purpose. The group collaborates with several
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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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will be on developing new mathematical and algorithmic tools that advance our understanding of these areas and their connections. Possible research directions include explicit constructions of error
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and geo-analytical transformations; design and implement algorithms that parse geographic questions into conceptual transformation graphs; develop graph-based methods (e.g. knowledge graph embedding
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candidate will demonstrate a record of excellence in one or more core areas of quantum information, such as quantum computing, quantum algorithms, quantum simulation, quantum networks, or quantum sensing
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learning algorithms on graphs to model, characterize, predict, and design the thermal and physical behaviors of diverse material systems. Responsibilities also include the development of software codes
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using jets and heavy-flavor probes. The candidate will also participate in algorithm and software development for the LHCb trigger system as part of the Real Time Analysis Project. A Ph.D. in experimental
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developing mathematical algorithms and simulations in MATLAB, in particular with Semidefinite Programming and Sum of Squares and of the analysis and design of feedback control systems using these approaches
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to work on meaningful projects with direct clinical relevance. About the role In this role, you will develop and implement computer vision and deep learning algorithms to analyse CT and MRI data from