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, time series analyses, latent modelling, multilevel modelling). · Data Cleaning and Management. Engages both independently and under supervision in data management and data cleaning and organization in
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, time series analyses, latent modelling, multilevel modelling). · Data Cleaning and Management. Engages both independently and under supervision in data management and data cleaning and organization in
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will focus on the acoel worm Hofstenia miamia, the laboratory model system studied in the Srivastava Lab. The research will combine lineage tracing, gene expression studies, chromatin profiling to ask
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into models of stratospheric chemistry to quantify their effects on stratospheric composition, with particular emphasis on ozone. The postdoctoral fellow will also participate in planned stratospheric airborne
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, multimodal, and agentic AI, as well as foundation models, with a focus on geometric deep learning, large-scale knowledge graphs, and large language models. Fellows will also have the opportunity to apply
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creativity who study one or more of the following areas: Foundations of intelligence, including mathematical and computational models of intelligence, cognitive theories of intelligence, and the
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components of grant submissions including drafting progress reports; (5) conducting literature reviews and summarizing large amounts of published material; and (6) project support tasks related to lab
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analyzing hyperspectral data and developing machine learning models - Genetic or molecular lab experience - Bioinformatics, or statistical genetics experience - Excellent written and oral communication skills
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be involved in a process-based biosphere modeling study of tropical forests. The goal of the research project is to identify and characterize the underlying drivers of differences in the ways in which
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independent research projects focused on the somatosensory system Conduct experiments in mice and rat models, including electrophysiology, live imaging, and behavioral studies Apply molecular biology techniques