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, computer vision in the Division of Health Data Science (HDS) at the DOS. The position is an annually renewable professional academic appointment. Duties/Responsibilities: ● Risk predictive model for clinical
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of the Mississippi embayment), surface water hydrology and modeling, model coupling, and spatial/temporal data analysis. The successful candidate will work with Dr. Brian Waldron and CAESER faculty/staff on projects
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jurisdictions utilizing land use-value assessment estimates. Duties include, but are not limited to: development of computational methods, maintenance of current models and data sets, identifying and testing
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duties for this position are the following: Conducts multidisciplinary research in the area of the role of mTOR kinase in growth control and anticancer mechanisms, including in vitro and in vivo models
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/neuropixel probes and electrical microstimulation to study attention and decision making networks in a behaving animal model together with parallel studies in humans. The project is part of a NIMH Silvio O
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, is seeking highly motivated candidates for multiple postdoctoral positions. We are specifically looking for candidates who possess a strong background in theoretical and computational modeling
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computing AI on High-Performance Computing (HPC) cluster. Examples on areas of research interest include but are not limited to: Vision transformers. AI foundation models. Computing and energy-efficient
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-scale ocean biogeochemical changes using a combination of remote sensing, modeling and in situ observations. Specifically, the postdoc will use a combination of ocean color remote sensing observations
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leukocyte biology Thrombosis and Hemostasis in vivo assays Microscopy including intravital Experimental models of stroke (filament and embolic) with long-term functional outcome. Experience in supervising
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retinal immunopathology, photoreceptor biology, or RPE-related degenerative disease models â¢Demonstrated expertise in retinal structure and function, including experience with gene expression analysis â