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Field
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Environmental Health Sciences is committed to advance its research and teaching in infectious disease epidemiology and modeling and to secure external funding to support its endeavors in this subfield
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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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on developing phase-field models for modeling the templated grain growth and piezoelectricity of ferroelectric piezoelectric crystals and work with other experimental groups in the to be funded ONR MURI project
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optimization (theory, modeling, and tools). Candidates should apply at: https://www.princeton.edu/acad-positions/position/39361 and include a cover letter, CV (including a list of publications), research
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neuroplasticity using rodent models. Concurrent research lines exploring the intersection of sex hormone signaling and respiratory neuroplasticity in aging, spinal cord injury, and stress models offer multiple
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models and human nutrition approaches. The selected postdoctoral fellow will investigate the health impacts of novel, biofortified foods such as anthocyanin-enriched staples and vegetables on metabolic
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experiments. Develop reinforcement learning models to improve gate fidelity. Leverage CNM’s state-of-the-art facilities, including the nanofabrication cleanroom and the Quantum Matter and Device Lab’s dilution
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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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development. Proven record in user research across healthcare environments. Experience collaborating with multidisciplinary teams. Proficiency in statistical modeling and qualitative analysis. Expertise in