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Field
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. Essential Duties and Responsibilities Analyze large-scale next-generation sequencing (NGS) datasets, including whole genome/exome sequencing, RNA-seq, and DNA methylation data. Develop and implement state
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(circRNAs) are associated with Alzheimer’s disease status and when measuring in blood can be used as disease biomarkers. We have generated brain and blood transcriptomic data in thousands of samples with
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., non-invasive brain stimulation) for symptom reduction. Large-scale data analysis (e.g. machine-learning) may be involved. Training will be provided in all methodologies but prior experience with some
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Job Summary/Basic Function: This position is housed within the Applied Magnetics and Photonics Laboratory under the supervision of Dr. Karthik Srinivasan in the Department of Electrical and Computer
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in collaboration with Texas A&M College of Engineering, Texas A&M School of Medicine and the state’s top-ranked Houston Methodist Hospital offer an innovative medical school program called ENMED
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computational analysis of large-scale pharmacogenomic datasets. The lab maintains active collaborations with medicinal chemists, structural biologists, and clinical oncologists at Stanford and elsewhere
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candidate will gain expertise in CRISPR screening, drug sensitivity profiling, target deconvolution, and the computational analysis of large-scale pharmacogenomic datasets. The lab maintains active
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
, or translational breast cancer research. The successful candidate will lead research efforts using rich molecular and epidemiologic data from the Carolina Breast Cancer Study (CBCS), a large, diverse population
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, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges the
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health more generally. Data sources for our work in this area are large-scale electronic health record data, medical claims data, mortality registries, and epidemiological cohort studies. The researcher