36 phd-in-mathematical-modelling-population Postdoctoral positions at The University of Arizona
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USA Position Highlights We seek an early career scientist with background in ecohydrology, numerical modeling and/or remote sensing to fill a position as Postdoctoral Research Associate
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representation learning, and real-world data modeling to stratify risk and optimize MHT formulations. The candidate must thrive in a multidisciplinary, fast-paced research environment and work independently and
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patient-specific human induced pluripotent stem cells (iPSCs), primary human cells/tissues, along with animal models, to develop a platform for the evaluation of cardiovascular toxicity associated with
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use a combination of patient-specific human induced pluripotent stem cells (iPSCs), primary human cells/tissues, along with animal models, to develop a platform for the evaluation of cardiovascular
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models, human tissue and blood samples. Use biochemical, cellular, molecular, and pharmacological approaches to for mechanistic studies. Use cutting-edge technologies for transcriptomic, proteomic, and
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progression and metastasis, and the combination of radiation treatment with immune checkpoint inhibitors in anti-cancer therapy. The positions will involve the use of animal models, human cell lines, and
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, contributing to the development of innovative spatio-temporal analysis and engineering challenges associated with uncertainty. The role supports collaborative investigations, model development, and experimental
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or conferences. Minimum Qualifications Candidate must have a PhD completed in the field of neuroscience or neurophysiology before anticipated start date. Preferred Qualifications FLSA Exempt Full Time/Part Time
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PhD in Physics, or related areas (with a focus on quantum optics/AMO physics/QED). Preferred Qualifications Demonstrated experience with cavity QED, many-body atomic physics, atom arrays, driven
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publications. Must have proven scientific writing skills in any of the following areas; entomology, biomedical sciences, molecular biology, genetics, or microbiology. Minimum Qualifications PhD in entomology