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for creating an energy systems modeling tool that models energy resources, technologies, and loads for specific applications. The postdoctoral associate will conduct research to assess the impacts of different
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, molecular biology, genomics, imaging, and behavior. Develop and troubleshoot new techniques and models; drive projects forward with scientific independence and rigor. Laboratory resource management and record
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models Strong quantitative, imaging, or computational analysis skills BACKGROUND CHECKS/CLEARANCES Employment with the University will require successful completion of background check(s) in accordance
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energy modeling on the economic and policy aspects of residential building retrofitting. The candidate will support econometric evaluation of the WAP implementation expectations and results. To accomplish
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on endocrine and neuroendocrine tumours, integrating preclinical models, molecular profiling and translational approaches to identify novel therapeutic vulnerabilities and biomarkers associated with treatment
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microbial communities initiate and propagate using early colonizers from dental plaque as a model. The successful candidate will participate in the design, implementation, and evaluation of research studies
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or similar viral persistence models is highly desirable Strong data analysis skills using biostatistical methods Track record of scientific publications demonstrating independent research capabilities in
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engineering (CRISPR/Cas9, Gal4/UAS), including the generation of genetic tools in non-model Drosophila species; single-cell genomics (scRNA-seq and single-cell ATAC-seq); in vivo functional imaging (two-photon
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migraine and other headache disorders, neuroepidemiology, and other neurodegenerative disorders. We use advanced biostatistical modeling, artificial intelligence (AI), machine learning, and neuroinformatics
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We are seeking a motivated Postdoctoral Fellow to support studies investigating the neural mechanisms underlying corneal pain and dry eye disease. The laboratory uses rodent models