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mitochondrial quality leads to neurodegenerative diseases and impairs neuronal recovery. To approach these questions we use a combination of genetics, biochemistry, cell biology and imaging in a number of models
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: 282551287 Postdoctoral Associate: Integrating political economy insights into energy modeling D-26-SPI-00009 | Research | Princeton School of Public and International Affairs The Peng group in the School
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your application: Letter of iinterest CV Statement of interest in health development research from a nursing perspective Research “fit” with our program model Identification of potential training faculty
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of epilepsy or seizure disorders using murine models and human patients. The Postdoctoral Associate will perform small animal surgeries, molecular, cellular and electrophysiological experiments with the goal
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make a difference in the world! Position Information The APEX/APIC/SWAT+ modeling group at Texas A&M AgriLife Research is seeking a highly skilled and motivated Postdoctoral Research Associate to join a
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information here ! PURPOSE The Postdoctoral Research Associate will conduct advanced research on the integrated analysis and modeling of urban water and environmental systems, focusing on urban stormwater
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models for microelectronics materials Curate, manage, and integrate heterogeneous datasets from experiments and simulations Collaborate closely with experimental teams to benchmark and refine computational
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models for high-temperature structural materials with applications in nuclear reactors and other energy systems. The candidate will collaborate with ANL staff to review, validate, and enhance methods
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successful candidate for this full-time position will work under the supervision of Dr. Demián Gómez to develop GNSS trajectory models that account for temporally correlated noise and produce co- and post
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required; Significant experience in molecular biology and animal models of epilepsy preferred. Requires successful completion of a background check. Selected candidate may be requested to complete a pre