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computer and paper records of therapy including collecting and accurately recording data in each therapy session, graphing data and completing treatment notes. • Maintain home and clinic therapy spaces
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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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cellular graphs) of the spatial immunophenotypes that are mapped in high-plex immunofluorescence images and evaluate their prognostic values in lung cancer. The other arm of the project will seek to develop
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representation: Experience with model integration, structured system representations, digital-twin concepts, or ontology/knowledge-graph-inspired approaches (not required, but beneficial) Funding and leadership
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on either uncertainty quantification or how uncertainty should be expressed to users. https://unit.aist.go.jp/deihrd07/keiyaku_koubo/2025-airc_0043.html [Work content and job description] ・Develop uncertainty
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responsibilities. Experience Essential: E1 Experience of analysing human body movement from sensor data (eg RGB videos and/or MOCAP data) using Deep Neural Networks (such as Graph Convolutional Networks). E2
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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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pipelines in bash, R, and python. Compiles reports, charts, and graphs that describe findings of analyses. Enters and verifies data for use in research studies. May participate in publication of research
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learning, physics-informed neural networks, graph neural networks, transformers, convolutional defiltering methods, etc.) for the integration in multi-physics simulation codes You will develop code for and
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services. Performs other duties as assigned by supervisor. Knowledge, Skills, & Abilities Must have proficiency with Microsoft software and graphing calculators. Ability to effectively present information