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Field
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Internal Number: JR90686 Position Summary This position will focus on integrating high-resolution field monitoring, remote sensing, and statistical and numerical modeling approaches to improve predictive
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will collaborate with faculty, research staff, and students. Depending on candidate interest, topics of study may include: Prompts as a data primitive and related methods Foundation model adoption and
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-pathogen interactions. Ideal candidates will have experience in: Microbiome research (e.g., culturing, gnotobiotic models, 16S or metagenomic sequencing) Molecular microbiology or bacterial genetics Host
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interested in computational materials design and discovery. The successful candidate will develop new, openly accessible datasets and machine learning models for modeling redox-active solid-state materials
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 32 minutes ago
Position Title Post-Doc Research Associate - Center of Excellence for Eating Disorders (CEED) and Carolina Athletics Mental Health and Performance Psychology Program (MHPP) Vacancy ID PDS004696 Full-time
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mainly be responsible for developing the building blocks of a forest planning model (adapting inventory data, assessing current growth and yield projections, defining current forest management strategies
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predominantly utilizes murine and cell culture models of the disease and conducts mechanistic/basic as well as translational research. Key Responsibilities : · Utilize PKD mouse models to delineate disease
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of Program & Employment Compliance at compliance@uada.edu . For general application assistance or if you have questions about a job posting, please contact Human Resources at 501-671-2219 or 479-502
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, Fisheries Science, Biology, Zoology, Biological Oceanography, Mathematics, Statistics, Computer Science, or related discipline Knowledge of modeling ecosystem and/or social network dynamics Strong
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of Geosciences at the University of Arizona seeks a postdoctoral researcher in computational seismology with a focus on urban geohazards. The candidate will be expected to work independently and collaboratively