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Qualifications: Advanced skills in Microsoft Excel (creating/using formulas, tables, charts and graphs), Word (mail merge), Outlook (complex calendaring), One Drive, SharePoint and Adobe Acrobat Professional
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of techniques for fusing LLMs with knowledge graph embeddings for graph-based recommendation in an industrial use case. - Design of experiments involving LLMs on GPU infrastructure. - Analysis and evaluation
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spectral analysis, entropy-based metrics, graph representations of cardiac conduction, and supervised, unsupervised, and deep learning approaches for classification of abnormal electrical activity within
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Title: AI-Augmented Procedural Node-Graph Authoring for Technical Artists PhD Studentship: R-LINCS2 funded. The Studentship is available for a February start. A PhD studentship that comprises tax-free
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movement, gaze and interaction dynamics; encoding simulated cognition using graph- and transformer-based methods; training and evaluating models on publicly available and ethically collected clinical or sub
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of analyses and functional design activities for capturing, loading, storing, and extracting data across MROQC; develop reports and definitions, graphs, dashboards, and portal interfaces; translate stakeholder
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, including the development of graphs and tables Drafting, editing, and distributing technical publications, reports, and manuscripts Drafting, submitting, and tracking IRB-related functions. Conducting
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and techniques for the analysis of graph-based process models, considering both the characteristics of the activities involved and the resources available within the organization to support their
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/02/2028 Job Reference Number: 151050-2026-002051 This project develops practical methods for quantified security by constructing attack graphs from knowledge already present in organizational risk
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for the project. Analyzes data and prepares data tables, charts, and graphs for reports. Writes grant proposals for faculty throughout the unit. Writes statistical computer programs and reviews computer output for