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an understanding of the ecological and evolutionary basis of adaptation and stress responses; demonstrated expertise in genomic data analysis and strong quantitative/bioinformatic skills, including relevant
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spectroscopy – FTIR, X-ray photoelectron spectroscopy – XPS, thermogravimetric analysis – TGA, differential scanning calorimetry – DSC, atomic force microscopy – ATM, among others). Scientific reports and
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Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job The desired candidate will develop NMR and evolutionary sequence analysis strategies to study the role of intrinsically
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Under supervision of the Laboratory Supervisor, perform routine operations in the laboratory including all aspects of receiving, inventorying, archiving and preparing aerosol filters for analysis
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experience in EEG signal analysis, with applications in cognitive sciences and psychopathology, • Minimum 1-3 scientific publications as author or co-author, • Experience in using data analysis, machine
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data. Working collaboratively with Academic Affairs, University Health, Facilities, Information Technology, and other campus stakeholders, this position supports space utilization analysis, capital
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interface For more information, please refer to the following link: https://rnakamura-lab.riken.jp/index.html * details of the business RIKEN is Japan's largest and most comprehensive research organization
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flow cytometry, qPCR, ELISA, confocal microscopy, immunofluorescence or multiplex cytokine analysis. Experience in the analysis and interpretation of complex biological data. Competence in statistical
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including athletic tickets Free access to UT Austin's libraries and museums Free rides on all UT Shuttle and Capital Metro buses with staff ID card For more details, please see: https://hr.utexas.edu
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Position Description Mathematical Statistics provides the foundation for the rigorous description, analysis, and interpretation of random and complex data and processes. The field plays a key role