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emergency departments. Knowledge of literature review, data extraction from medical charts, data analysis and proficiency in statistical software such as SPSS and R are preferred. Those who plan to pursue
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. Applications must be submitted electronically at https://psu.wd1.myworkdayjobs.com/PSU_Academic Search:0000058449 and include a cover letter containing a description of past accomplishments, research interests
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, heart failure, long-term conditions, self-care or person-centred care. Survey data, registry or usage data, and statistical analysis. Multicentre research or collaboration with regions, clinical services
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Number req26922 Department Materials Science & Engr Department Website Link https://engineering.arizona.edu/ Location Tucson Campus Address Tucson, AZ USA Position Highlights The Biopolymer Materials Group
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subject area. The department has education assignments in engineering programs and master's programs. More information is available on our website . (https://kemi.uu.se/angstrom/?languageId=1 ). Work duties The
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. Participate in project implementation and reporting activities. Contribute to academic life by supervising MSc and Bachelor students, and assisting in teaching activities. Engage in training opportunities
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 21 hours ago
statistical analysis, qualitative data analysis, and interpretation and publication of study findings. In addition, the postdoc will develop their own research questions related to their fellowship and will
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Website: https://healthpolicy.fsi.stanford.edu/(link is external) How to Submit Application Materials: Please submit the required application materials to Dr. Goldhaber-Fiebert ([email protected](link
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, statistical analyses (including multivariate approaches), and scientific writing. Mandatory requirements: PhD in physiology, ecology, neuroendocrinology, molecular biology, or related fields. Strong experience
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and water content. Statistical analyses of satellite data describing forest dynamics, and their correlation with pre-defined climatic indicators for the dry season. The Institut des Géosciences de