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fair access to opportunities (employment, healthcare services, education) and mitigating spatial inequalities; - develop (deep) learning models for spatial structures and dynamic graphs to support the
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-mail and by post will not be considered. Where to apply Website https://academicpositions.com/ad/empa/2026/phd-position-in-hierarchical-graph-n… Requirements Research FieldComputer scienceYears
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process of transforming the IFC format into knowledge graph format. Provide support in static and dynamic data integration tasks for digital twins. Where to apply Website https://seuelectronica.upc.edu/en
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of Microsoft Office Suite (i.e., Excel, Word, PowerPoint) in the creation of programming documents, graphs, and presentations. Physical Demands and Work Environment Must maintain current certification in
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external and/or current and historical information. Responds to ad hoc requests for information and analysis, which may entail conducting complex extractions, analyses, and reporting/graphing of information
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the department. Uses various PC software packages such as word processing, spreadsheets, graphics, etc. to produce high-quality documents and creates tables, charts, and graphs as required. Minimum Education and
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assigned. Providing administrative support for multiple senior- and junior-level faculty. Preparing CVs, letters, PowerPoint slides and creating complex charts and graphs, upload manuscripts to journals
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some overlapping measures in the individual data sets and through the use of advanced analytic tools including machine learning and graph theoretics, one can discover multiple developmental pathways in
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, transformation, Southern, and Western blot analyses. Individual is expected to maintain a detailed notebook, tabulate and graph data, and interpret results on all procedures. Individual will be expected to read
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Leibniz-Institute for Food Systems Biology at the Technical University of Munich | Freising, Bayern | Germany | 2 months ago
new insights into food-effector systems, sophisticated and tailored computational methods are needed. This project aims at leveraging graph-theoretic approaches to analyze and predict food-effector