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Field
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candidate will be expected to develop testable hypotheses that can be applied to new model systems, such as bee colonies, in collaboration with the project team. The research will be conducted in close
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of binary and ternary CSAFs using tools developed at CMU. These CSAF samples will be used by our collaborators at UPPA conducting experiments in which model microbes are adsorbed onto the CSAF surfaces and
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its Master of Computer Information Systems program and provides the program to online learners using this same “lecture capture” delivery model. The program has consistently been ranked as one
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data collection, analysis and reporting Conceptualization and implementation of statistical models Collecting, managing, and structuring quantitative datasets Report writing and manuscript preparation
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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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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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PhD in a relevant field (Computer Science, Mathematics are most likely to fit the role, but we are open to Chemistry, Materials Science, Chemical Engineering, etc.), expertise in cutting-edge AI and
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outcomes to end users. Coordinate the upload and curation of at least 250 samples annually to the EarthBank platform and contribute to data model development and refinement. Teaching: Support EarthBank’s
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or microworlds, conduct laboratory studies, and construct computational cognitive models including paradigms in Cognitive Science (Instance-Based Learning models) or AI (Reinforcement Learning). The fellow will
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PhD in a relevant field (Computer Science, Mathematics are most likely to fit the role, but we are open to Chemistry, Materials Science, Chemical Engineering, etc.), expertise in cutting-edge AI and