28 phd-in-mathematical-modelling-of-biochemical-reactions Fellowship positions at Zintellect
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received within the past five years. Strongly preferred skills: Experience with mathematical modeling of biological systems Experience with population modeling, disease modeling, or similar ecological
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of microphysiological systems or organ on a chip model for viral agents. Research project emphasis is placed on determining virus growth and stimulation of an appropriate immune response that mimics what is observed in
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group selection management to promote structural complexity, making them a useful test of different modeling approaches in the Forest Vegetation Simulator (FVS). Currently FVS users, which largely consist
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neutron inelastic scattering, neutron capture, and neutron production. In addition to nuclear reaction studies, you will participate in the development of unique neutron sources through computational
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researchers engaged in a Defense Health Agency project on spatial orientation modeling and disorientation mitigation. The research fellow will participate in generating a report for the Spatial Orientation
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research-operational partnerships and learning about systems involving forest fuels and fire emissions modeling. They will gain experience with modeling, coding, and database management in support of a
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of innovative technology solutions. Assignments will require technical and economic research involving data analysis, regulatory analysis, and modeling. You will learn by assisting with producing this research
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related orthopaedic trauma. In particular, contemporary cell / molecular biology in vitro approaches as well as clinically relevant small and large animal models of orthopaedic trauma are utilized
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state-of-the-art experimental and computational models for solving water resource problems worldwide. CHL research and development addresses water resource and navigation challenges in a variety of
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that pose a threat to US agriculture and public health. Potential areas of research include genomic epidemiology, virus evolution, ecological surveillance, ecological modeling and modeling of viral