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Field
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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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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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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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biomarkers, and electronic health records) and developing computational models. Establishes frameworks for data modernization, integrating metadata and varied datasets to create databases suitable for cross
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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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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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strong academic preparation and experience in both experimental and modeling research work documented by corresponding journal publications, and is expected to perform the following tasks/duties
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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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of CRISPR/Cas9 gene editing, generating mouse models is cost prohibitive and largely inaccessible. To circumvent this, we developed a highly efficient electroporation-based editing technique called CRISPR-EZ
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participants. Postdoctoral fellows will receive support for professional development and skills training to advance manuscript writing, data analyses, presentation acumen, and research models. The primary mentor