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). Discipline(s): Computer, Information, and Data Sciences (1 ) Earth and Geosciences (1 ) Environmental and Marine Sciences (6 ) Life Health and Medical Sciences (2 ) Mathematics and Statistics (1
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across the lifespan. Key Research Areas Elucidating biophysical principles of protein-metabolite interactions under identified stress conditions Developing mathematical frameworks to model proteostasis
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Sciences (17 ) Earth and Geosciences (21 ) Engineering (27 ) Environmental and Marine Sciences (14 ) Life Health and Medical Sciences (48 ) Mathematics and Statistics (11 ) Other Non-Science
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) Engineering (27 ) Environmental and Marine Sciences (14 ) Life Health and Medical Sciences (51 ) Mathematics and Statistics (11 ) Physics (16 ) Science & Engineering-related (2 ) Social and
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. Preferred Experience Experience with vesicle/liposome study and manipulation. Experience with microfluidic systems or dynamic mathematical modeling, Experience within the fields of astrobiology and
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completed a Ph.D. in fields such as Computer Science, Applied Mathematics, Data Science, Engineering, or related disciplines by the time they assume their post. Review of applications will commence
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quantitative field like economics, mathematics, computer science, or engineering, or related area of study [or 5+ years of relevant coursework or professional research/engineering experience]; 5+ years
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Mathematics Position Description We are looking for excellent candidates in the general areas of macroscopic physics, quantitative biology and applied mathematics, with specific foci that include (i
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consists of empirical methods (observational and controlled experiments) and theoretical modeling (mathematical, statistical, and computational). The Fellow will work closely with Dr. Otárola-Castillo
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colleagues and the Quantitative Translational ADME Sciences group to coordinate experimentation and data collection contributing to development of a mathematical model describing tumor penetration. Additional