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Field
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pipelines to resolve synapse nanostructure in rodent brain tissue. is motivated to experimentally and conceptually integrate molecular and circuit level neuroscience. has good communication skills and a
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advanced epidemiologic and biostatistical methods, including causal inference, survival and longitudinal modeling, and approaches for integrating multi-level and high-dimensional data. There will be
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Scholar to join a Sloan Foundation–funded research project led by Prof. Eamon Duede . The project investigates how the rapid emergence of artificial intelligence (particularly large language models) is
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growth and forest productivity and mechanistic models have been developed that confirm the strong response of GPP (gross primary production) to a nutritional stress for K (Cornut et al., 2022) The overall
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involved in other collaborative research projects between Coley’s Conceptual Organization, Reasoning, and Education Laboratory (CORE Lab) and Helmuth’s Marine Ecological Forecasting, Ecophysiology, and
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. This includes conceptualizing research questions, designing empirical studies, collecting or acquiring new data sets, and analyzing these data using advanced statistical models and visualization techniques
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pioneered new conceptual and technological frameworks to interrogate these mechanisms, including inducible and reversible global microRNA loss-of-function, cell type–specific microRNA–target interaction
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analysis of empirical data; assistance with exams Involvement in administrative tasks Your Profile Doctoral Degree of inclusive education, psychology or a comparable field Experience in conceptualizing and
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Postdoctoral Appointee - Uncertainty Quantification and Modeling of Large-Scale Dynamics in Networks
vulnerabilities. The Postdoctoral Appointee will be responsible for the conceptual framework, design, and implementation of these models, ensuring scalability on the DOE’s leadership computing facilities. Position
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Postdoctoral Researcher in Natural Language Processing and Digital Humanities (18 months, full-time)
research task is to model semantic change and conceptual structure using Natural Language Processing. We will build customized NLP pipelines for premodern Greek and humanistic Latin, train and evaluate word