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Field
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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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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
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gene expression programs, and how perturbations in these regulatory layers drive pathological states, particularly in aggressive cancers. Conceptual knowledge in these areas will be highly relevant
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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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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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with the nation-wide research priority area “LaSTing : Robust Assessment & Safe Applicability of Language Modeling: Foundations for a New Field of Language Science & Technology,” which is funded by
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of conceptual and numerical models describing sediment material properties, sediment and water transport, leveraging in-situ and indirect measurements such as geophysical and/or remote sensing
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capabilities. Key Responsibilities: Capturing requirements and analyzing specifications for future detector systems Performing conceptual design and system-level optimization using emerging computing
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encouraged. BSL-2 pathogens will be utilized. The successful applicant will be able to synthesize experimental data into conceptual models. The Kaelber lab is located in the Institute for Quantitative
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mechanistic modelling, the project seeks to advance fundamental understanding of how complex environmental perturbations influence infectious disease emergence, spread, and persistence across coupled human