79 phd-mathematical-modelling-population-modelling Postdoctoral positions at Rutgers University
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research worldwide and reduce the burden of cancer in our catchment area. By engaging with and empowering our exceptionally diverse populations, and addressing their questions and fears, we will engender
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research worldwide and reduce the burden of cancer in our catchment area. By engaging with and empowering our exceptionally diverse populations, and addressing their questions and fears, we will engender
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and intrahippocampal kainic acid (IHKA) mouse models with retrospective human iEEG and therapeutic outcome data. Responsibilities include small-animal surgery, multichannel electrophysiology
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will support and conduct simulation modeling research related to tobacco and lung cancer prevention and control. Duties include: Conducts data analysis using secondary data sources, such as national
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that include a mix of research design, fieldwork, data science, simulation modeling, writing, and presentations. The overarching goal of the Postdoctoral Associate will be to systematically investigate, evaluate
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will support and conduct simulation modeling research related to tobacco and lung cancer prevention and control. Duties include: Conducts data analysis using secondary data sources, such as national
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research worldwide and reduce the burden of cancer in our catchment area. By engaging with and empowering our exceptionally diverse populations, and addressing their questions and fears, we will engender
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data analysis methods and/or cognitive computational modeling. Preferred Qualifications Previous experience working with patient populations is desired but not required. Experience with cognitive task
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cancer-focused research worldwide and reduce the burden of cancer in our catchment area. By engaging with and empowering our exceptionally diverse populations, and addressing their questions and fears, we
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focuses on investigating how biomedical implant degradation products modulate host immune responses using advanced cellular and murine models. The overarching goal is to develop novel therapeutic strategies