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to the development of techno-economic models, and supervise the PhD candidate in all research activities related to energy economics. The researcher will work closely with the principal investigator and the project
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for the treatment of these diseases, with a focus on ion channels. Our work combines in vitro and in vivo model systems, human tissue analysis, hormone secretion assays, electrophysiology, (live) imaging, molecular
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, predictive modeling, machine learning, and quantitative research to trusted enterprise data. Working within the UNG NEST, the position develops analytical models and predictive insights that improve strategic
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minimum, applicants should have prior experience of working with murine models of infection and/or murine models of allergy, especially gnotobiotic models. Applicants who also have prior experience with
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Description Mission: Manage and execute tasks related to morphodynamic modeling and data analysis. Functions to be developed: Design and execute advanced numerical simulations with the Q2Dmorfo model. Manage
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Level 47 Salary Range $58,302-96,179/year Type of Position Staff Position Time Status Full-Time Required Education BS Click here for more information about equivalencies: https://hr.uky.edu/employment
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answer broad questions about evolutionary processes and principles using specific models and/or systems. Applicants must have a demonstrated commitment to teaching and mentoring and the ability to build
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Location Lexington, KY Grade Level 12 Salary Range $62,400-111,634/year Type of Position Staff Position Time Status Full-Time Required Education PhD Click here for more information about equivalencies: https
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School graduates over a thousand students who are ready to take on great ambitions and challenges. For more details, please view: https://www.ntu.edu.sg/eee Key Responsibilities: The Research Fellow will
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) to soft matter or related systems; basic knowledge of scattering data modelling is essential. Data analysis skills and programming experience in Python or MATLAB. Ability to work effectively with multi