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, biochemical and pharmacological methods will be utilized to functionally characterize AD-associated genes for subsequent transcriptomic and proteomic analyses. The new Postdoctoral Research Associate will work
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experience in analyzing large-scale genomic data, including next-generation sequencing data, and a strong understanding of statistical analysis methods including statistical genetics. The candidate
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/ statistical analyses in one or more of the following programming environments: R, Python, bash, MATLAB, JAVA, etc. 4. Experience using computing clusters (batch processing), cloud computing services, and
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/statistical analyses in one or more of the following programming environments: R, Python, bash, MATLAB, JAVA, etc. 4. Experience using computing clusters (batch processing), cloud computing services, and
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of the position will focus on the development of computational modeling approaches for cellular signaling pathways and multi-cellular communication using high-performance computing techniques and the
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, energy and environmental science; engineering sciences; materials and advanced manufacturing; math, computing and information science, nanodevices and microsystems; physical sciences; and radiation
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methods, common data elements, and tools for scientific discovery and promoting public health in the context of the ORWH mission Identify strategies, implement approaches and provide technical expertise
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disease, neuroimaging (metabolic PET, fMRI, tractography, electrode localization), improving methods of screening for spasticity and cervical dystonia, and telehealth. Opportunities include participating
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excellent record of research and be able to contribute to undergraduate and graduate training in comparative politics. Candidates able to assist in graduate training in quantitative methods, formal
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research, epidemiology, biostatistics, public health, or related field. Understanding of epidemiology methods, study design, and data analysis. Expertise with statistical software such as SAS