54 phd-in-mathematical-modelling-population Fellowship positions at Indiana University
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position under the supervision of Dr. Chris Smith. Our new lab in Evolution, Ecology, and Behavior investigates machine learning approaches for population genetics. Our research integrates custom neural
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position under the supervision of Dr. Chris Smith Home | Chris Smith . Our new lab in Evolution, Ecology, and Behavior investigates machine learning approaches for population genetics. Our research
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with a PhD in computer science or bioinformatics are encouraged to apply. We create statistical, machine learning, and deep learning approaches for the processing of this data, with a major focus on
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. Multidisciplinary approaches including clinical neuroimaging and basic biomedical bench techniques will be used in human subjects and animal models, respectively. Qualification: The applicant will be working in a
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, hydrogel fabrication/characterization, bioprinting and mathematical modeling. IUSM is committed to being a welcoming campus community and we seek candidates whose research, teaching, and community engagement
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, 3D ex-vivo cell culturing models, and the implementation of unique genetically modified animal models. The Division provides a highly collaborative environment and the possibility to grow. An NIH
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) relation of central and peripheral omics to ADRD biomarkers and clinical measures, and (e) studies in diverse multiethnic populations to broaden our understanding of genetics and ADRD biomarkers. Fellows
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), Centrally-linked longitudinal peripheral biomarkers of AD in multi- ethnic populations (CLEAR-AD), Artificial Intelligence for Alzheimer’s Disease (AI4AD), Alzheimer’s Disease Metabolomics Consortium (ADMC
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discovered populations of pulmonary endothelial cells in the pathobiology of PH and investigation of heme-mediated signaling mechanisms. Dr. Rafikova’s lab research focuses on the role of mitochondrial
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, 3D ex-vivo cell culturing models, and the implementation of unique genetically modified animal models. The Division provides a highly collaborative environment and the possibility to grow. An NIH