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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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-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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/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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for Alzheimer’s disease and related dementias (ADRD) in older patients with multiple chronic conditions and cognitive impairment. This clinical research-focused position involves working with clinical, imaging
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smartwatches, smart rings, and fitness trackers to measure additional variables of interest such as heart rate, heart rate variability, physical activity, and sleep. His research is funded by multiple institutes
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leveraging multiple rich data sets and leading-edge analytic approaches supported by multiple NIH grants (R, U and P programs). Topics include (a) human genetics of ADRD using quantitative endophenotypes from
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pathophysiology of the inner ear using multiple genetic mouse models and a novel human stem cell-derived 3D inner ear organoid model. We study genetically-mediated hair cell and neuronal degeneration in these model
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for Alzheimer’s disease and related dementias (ADRD) in older patients with multiple chronic conditions and cognitive impairment. This clinical research-focused position involves working with clinical, imaging
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to identify novel targets for diagnostic use and therapeutic intervention. Fellows will work on research problems using rich data sets and leading-edge analytic approaches supported by multiple NIH grants (R, U
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leveraging multiple rich data sets and leading-edge analytic approaches supported by multiple NIH grants (R, U and P programs). Topics include (a) human genetics of ADRD using quantitative endophenotypes from