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-based model for implementing similar changes more broadly. The position target start date is no later than June 1, 2026 with preference for a candidate who can start in Fall 2025 or Spring 2026
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modeling, LLM and/or NLP, behavioral coding, and/or psychophysiological monitoring. For consideration, please click the link below to apply and submit all required application materials: https
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real-world environments, fine-tuning AI models to classify qualitative data, and building generative AI pipelines to process multimodal data for downstream analysis. Applicants with experience in some
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of Engineering, at the University of Texas at Arlington, invites applications for a Post Doctoral Research Associate who will be working in the areas of improving forecasts of weather, climate and snowpack, and
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software components (libraries, frameworks, tools) and through improved exascale software development practices. CSE application domains include, among others: Earth system, climate, and environment
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of secondary organic aerosols (SOA), aerosol-cloud interactions, anthropogenic-biogenic interactions and representation of aerosols in climate models. The group is part of the Atmosphere and Climate Competence
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, particularly of non-model organisms Computer programming and experience with the solution of numerical problems, machine vision, and analysis of next-generation sequencing data High-throughput screening
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or similar. Experience in handling dynamic modelling and control, experimental setup and testing, Digital Twin and Machine Learning Publication experience Collaboration and/or management skills Communication
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well as the opportunities and challenges for future supply. Anticipated outcomes include an understanding of how the emergent policy context will shape student housing delivery and trace the potential for new models
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models. Building on our preliminary work using retrograde tracing and live-cell imaging to map GB-neuron connectivity, we aim to identify molecular targets for therapeutic intervention. Job description As