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Field
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humanities team in the project to develop an annotation tool for Zoroastrian Dari oral recordings. Contribute to the linguistic annotation of Zoroastrian Dari texts and recordings. Contribute to corpus
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to apply advanced statistical techniques/tools for data visualisation and analysis (e.g., Reliability analysis, Factor Analysis, Mixed-effects model, ROC curve). Proven track record of managing data in
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design in AI. We will design and build an LLM-agent platform and evaluate it in a demonstrator. Our work is expected to embrace emerging standards for LLM agents (notably MCP, A2A). Note that the
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
involve both developing ancillary datasets to support SWOT and also analysis of the SWOT data itself, including validation and development of data processing tools. The position is for one year with
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 4 hours ago
involve both developing ancillary datasets to support SWOT and also analysis of the SWOT data itself, including validation and development of data processing tools. The position is for one year with
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approach to AI integration while maintaining its liberal arts values. Responsibilities include: Collaborating with and supporting Bowdoin faculty in integrating AI tools and methodologies into their teaching
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development experience using Python, ROS2 and software engineering techniques. Extensive knowledge of ML, DL and RL tools, theory and applications. Before applying, please note that to work at McGill University
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External Posting Pay Rate Range $62,652-$85,000 DOQ Close Date 11/19/2025 Priority Review Date (Note - Posting may close at any time) Job Summary The Focused Ultrasound Laboratory in the Department
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Marin in Cambridge together with Wei Lee (Harvard Medical School) and Meg Younger (Boston University) have obtained a Wellcome Discovery Award to proofread, annotate, and analyse the first mosquito brain
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climate shocks to natural disasters. Important note: Our team does not conduct wet lab research. This is NOT a laboratory-based (bench science) fellowship. PERL operates across three core pillars: Science