Sort by
Refine Your Search
-
Program
-
Field
-
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
-
-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
-
/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
-
multiple brain regions interact with each other, or networks. Furthermore, we are focused on identifying factors affecting the plasticity of these representational networks, and the degree to which they can
-
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
-
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
-
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
-
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
-
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
-
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