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are not limited to lithic, behavioral, statistical, and computational data collection and analysis. Provides input to research design and protocol development, including the development of new research
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research., including: Dual Energy X-ray Absorptiometry (DXA), Indirect Calorimetry using Vmax Encore, Cardiopulmonary Exercise Testing (CPET) using Vyntus CPX, Nutrition Data System for Research (NDSR
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, metabolism, and immunity. Using animal models (e.g., orthotopic and PDX models, transgenic mice) along with functional genomics (e.g., CRISPR-Cas9 or shRNA lentivirus) and unbiased big data, the Post-Doctoral
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, and the CDC Insight Network. POSITION QUALIFICATIONS REQUIRED: PhD (or equivalent) in Biostatistics, Epidemiology, or a closely related field. Strong applied data analysis and quantitative modeling
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and machine learning approaches for understanding causal relationships in complex data, with opportunities to pursue independent research as well as collaborative projects within the group. The position
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data around dementia home- and community-based services (HCBS). The fellow will play a key role in the Community Care Network for Dementia (CaN-D), generating and analyzing quantitative and qualitative
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have opportunities to lead and/or co-author manuscript publications. S/he will perform population health research activities, including developing and implementing research protocols, performing data
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. We are looking for a candidate with a PhD in Neuroscience or another closely related field awarded within the past three years. The ideal candidate should be highly motivated, independent, and detail
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with colleagues. Additional qualifications as specified by the Principal Investigator. PREFERRED QUALIFICATIONS: PhD in Biostatistics, Epidemiology, or Demography, or a related field Strong expertise in
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contribute to the excellence of our academic community. POSITION INFORMATION: Postdoctoral position in genomic, epigenomic, metabolomic, proteomic, and multi-omics studies of complex diseases (e.g