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for data analysis and research. Machine Learning Skills: Experience with machine learning algorithms, transformers, or large language models to analyze genomic data. Computational Proficiency: Skilled in R
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science of science, network science, and natural language processing. As part of a small research team, the postdoc will help lead efforts to provide a quantitative model of global competitiveness
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of national research infrastructures Evaluating the evolution of Generative AI performance over time and across tasks Analyzing international AI models and their representations of the U.S. in global discourse
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research program sponsored by federal agencies such as the U.S. Department of Defense and the National Science Foundation (NSF). The focus of the research is on developing innovative physics-informed deep
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on the potential survival of consciousness after death. Today, our broad mission is the scientific investigation of phenomena that challenge currently accepted models of the nature of mind and consciousness
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ability to learn new software quickly and introduce new useful applications and platforms to the team. Proficient in advanced statistical modeling software (e.g., R, Stata, Matlab) Physical Demands This is
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normal and cancer cells, and mouse models. Research in the Trinh lab centers on protein- and RNA- mediated gene regulation via modulating chromatin architecture in development of immune cells, particularly
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and in vitro model systems to test novel biological mechanisms. Techniques of interest focus around high-dimensional immunophenotyping via mass cytometry and spectral flow cytometry, immunofluorescence
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The Qi Lab is Looking for a multiple Research Associates to study ERAD in mammals, and its therapeutic potential in mouse models. Job duties are to design and plan the experiments, execute
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research using complex observational healthcare data, with a focus on cancer studies. The successful candidate will be expected to: Modeling multilevel survival data while addressing confounding and missing