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to predict the behavior of these smart nanocarriers under varying pH and flow conditions. The work bridges theory, computation, and experimental validation to design next-generation therapeutic systems
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Preferred Qualifications Doctoral (Ph.D.) degree in Mathematics, Computer Science, Computational Biology, or another relevant field. Graduate training in mathematical modeling, predictive modeling, machine
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combined nutrition, responsive parenting, and health intervention on childhood development (BUNDLE) study”. We encourage fellows to also develop their own research program within the fields of nutrition
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using appropriate statistical and computational methods. Prepares detailed reports and presentations contributing to manuscript development and supporting publications. Essential Function Yes Percentage
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accountability and continuous process improvement. We celebrate the diverse voices, perspectives, and experiences of our employees. Benefits for Research Grant or Time-Limited Positions Are Indicated Below
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Fellow Campus Columbia Work County Richland College/Division College of Engineering and Computing Department CEC Chemical Engineering Advertised Salary Range Salary commensurate with qualifications
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courses with a focus on Bioinformatics topics. Qualifications PhD degree in Computer Science, Engineering, Statistics, Physics, Biology, Chemistry, Biochemistry, Biophysics, Bioinformatics, or any related
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. degree in Cell Biology, Molecular Biology, Neurobiology, Biology or closely related field and the ability to contribute immediately to a nationally recognized research program in neurotherapeutics