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, demographic, forest, and supplier data. The work includes constructing and processing heterogeneous spatial-temporal and supplier datasets; designing knowledge-graph-based data models for integrating diverse
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text leveraging fine-tuned Vision-Language Models (VLMs) from WP3, supporting zero-shot reasoning and scene-graph inference. Ensure the system is deployment-ready by supporting benchmarking of inference
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reports, creating charts and graphs, formatting PowerPoint presentations; and special projects as assigned. Assist with faculty communication and meetings; including scheduling, independently preparing
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clustering, entropy metrics, and graph-based representation of tumor architecture. Dimensionality reduction and feature stability analysis will be performed using correlation filtering, stability selection
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positions for distinguished professorship. Candidates in areas including, but not limited to, Algebra, Number Theory, Geometry, Topology, Combinatorics, Graph Theory are encouraged to apply. Responsibilities
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and machine learning. Topics of interest in this area include, but are not limited to: natural language processing, large language models, graph learning, prompt engineering, knowledge graphs, knowledge
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with expertise in Combinatorics and Graph Theory. DEPARTMENT: The mathematics program at Otterbein is unique in that mathematics majors begin, in their first semester, a study of advanced calculus and
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for users of the Monarch Android pin‑array tablet (https://www.humanware.com/en-usa/monarch ). In this role, you will work closely with Humanware’s ML developers to design and implement an ML toolchain
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. A particular focus of the project will be on: 1) Graph Neural Networks for cosmology, neutrino and/or collider physics, 2) Domain adaptation methods / model robustness, 3) Uncertainty quantification
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and compare energy consumption at different scales (building, block, neighborhood, city). 2. Produce relevant analyses and indicators for decision support Generate metrics, maps, graphs and