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/ Knowledge Graph Representation / Recommender Systems Graph Theory/Network Science Python, and up-to-date machine learning libraries Excellent written and verbal communication skills Track record of publishing
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to students pursuing degrees through the doctoral level. More than 20 percent of its 25,000 students are enrolled in graduate course work, studying in disciplines ranging from atomic physics and graph theory
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programs such as Outlook, Excel, Access, Word and PowerPoint to create spreadsheets, graphs, charts and reports, prepare presentations, conduct data analysis and manage information efficiently. Preferred
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programs such as Outlook, Excel, Access, Word and PowerPoint to create spreadsheets, graphs, charts and reports, prepare presentations, conduct data analysis and manage information efficiently. Preferred
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an excellent publication record. Solid research experience in one or more of the following topics is expected: Graph neural networks Optimization algorithms Predicting structured output Self-supervised learning
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preparation for analysis; use spreadsheets and databases to develop and maintain records and create reports — 10% Prepare and present summary narrative reports, PowerPoints, graphs, tables, charts, and
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Graph Machine Learning and Graph Data Management At Section
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the department is available at: https://www.umu.se/en/department-of-computing-science/ Project description Graph transformation is a well-established theory that studies computational methods
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maps. Knowledge graphs can be used to model these transformations and to link geodata sources to questions. In this project we will apply symbolic and sub-symbolic AI methods to scale this up across
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% Support activities related to fungal culture and inoculum preparation. 10% Assist with preparation of graphs, tables, PowerPoint slides, and posters for extension and scientific meetings. Qualifications