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, pathogenesis, and drug discovery. Expertise in molecular genetics, protein biochemistry and animal models is highly preferred. The ideal candidate will conduct high-quality research using advanced techniques in
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skills and curiosity about complex systems. Position Overview You will design and implement new computational and statistical models to reverse-engineer causal networks from noisy, high-dimensional, multi
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, and conduct independent research projects investigating head and neck tissue stem cell (dys)function in various preclinical models (mouse, explant, organoid), focusing on normal aging and age-related
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supervision and guidance, including publications in peer-reviewed journals. · Design and perform in vivo experiments in various mouse models · Perform mouse metabolic phenotyping and data analyses (e.g. glucose
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on the role of sex chromosomes in aortic aneurysms, atherosclerosis, and heart failure using mouse models that modulate the sex chromosome complements coupled with castration surgeries. Under the mentorship
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agencies and other national laboratories. The candidate will develop power systems and electricity market modeling, and analytics tools that support energy, economic, and financial analyses of power grid
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approaches, 3) working with rodent and large animal cancer models, 4) wet lab skills including cell culture, cell and tissue immunohistochemistry and immunofluorescence staining, western blot, and flow
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Address Tucson, AZ USA Position Highlights The Lunar & Planetary Laboratory at the University of Arizona has an opening for a Postdoctoral Research Associate I in the field of modeling of planetary
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. The research involves the development of practical and computationally efficient methods for adapting and fitting models from survival analysis to infectious disease transmission data and other data, including
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the supervision of Dr. Joseph Kwon. We’re seeking a creative Postdoctoral Scholar to join our team and advance cutting-edge multiscale and hybrid modeling—integrating first-principles simulations with