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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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Mulitiple, Tenure-Track Assistant Professor Faculty Positions in Applied Quantum Information Science
materials. Candidates who conduct research that complements our activities in atomic/molecular/optical physics, quantum simulations, quantum algorithms, quantum machine learning, quantum algebra, quantum
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-mounted cameras. Applies state-of-the-art algorithms to summarize the statistics of the images. Attends regular team meetings. EDUCATION Required Master of Science (MS) degree in Data Science SKILLS
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conduct research that complements our activities in atomic/molecular/optical physics, quantum simulations, quantum algorithms, quantum machine learning, quantum algebra, quantum topology, materials
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Engineering: organoids and bioengineered model systems; sensors, biosensors and bioelectronics; nano-scale technologies; cell, immune and tissue engineering; advanced imaging (including spatial transcriptomics
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/interest with or prior experience working with NGS algorithms such as PLINK, or experience working in a cloud computing environment or UNIX/linux/HPC cluster. Department Contact for Questions Dr. Bohdan
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of quantum algorithms for hybrid quantum simulators. Applicants should have a PhD in Physics, Chemistry, Computer Science, or a closely related field. To apply, a CV, a brief statement of research interests
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-centered design, and the health professions. Key areas of research include medication safety; mobile health, sensors, and other technologies; aging and family caregiving; chronic disease care; lifestyle
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structures, data structures, operating systems, database systems, systems analysis and design, software engineering, theory of computation, analysis of algorithms, programming languages, artificial
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: Bioengineering and Biomedical Engineering: organoids and bioengineered model systems; sensors, biosensors and bioelectronics; nano-scale technologies; cell, immune and tissue engineering; advanced imaging