66 phd-mathematical-modelling-population-modelling Postdoctoral positions at The University of Arizona
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of Arizona and relocations services, please click here . Duties & Responsibilities Conduct immunohistochemistry staining to assess brain pathological changes in mouse models; whole cell patch clamp
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career scientist with background in organic geochemistry, statistics, and Bayesian modeling to pursue analyses of paleoclimate biomarker data. The ideal candidate should be proficient with both laboratory
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) packages where appropriate. Minimum Qualifications Ph.D. in Electrical Engineering, Biomedical Engineering, Applied Mathematics, or a closely related field. Demonstrated experience with Siemens MR pulse
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) packages where appropriate. Minimum Qualifications Ph.D. in Electrical Engineering, Biomedical Engineering, Applied Mathematics, or a closely related field. Demonstrated experience with Siemens MR pulse
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Sciences Address 1501 N. Campbell Ave., Tucson, AZ USA Position Highlights We are searching for multiple postdoctoral research associates to join the laboratory of Dr. Russell S. Witte, PhD in the Department
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, planning, and vision-language model (VLM) pipelines. The role includes disseminating results via publications, patents, demos, and grants, in addition to mentoring students and contributing to course modules
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Duties & Responsibilities Plan, design and conduct advanced, multi-disciplinary research involving the use of mouse models, human tissue and blood samples. Use biochemical, cellular, molecular, and
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) spectrometers, and they have been subjects of numerous dryland empirical, remote sensing, and modeling studies. The postdoc will be joining a collaborative team but will also have plenty of freedom to develop
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through collaboration with team members conducting microbial and modeling analyses. The project will provide excellent exposure and networking opportunities for multiple career paths in academia and
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will be compared to natural prototypes (e.g. in Asia or western North America) and analog models, with emphasis on the implications for structural models needed for energy geoscience. Key skills include