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in utilizing various computer software programs, including Google products, MS Office, and any Graphing software to enhance academic and administrative tasks; Capable of developing course materials and
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AI systems capable of generating data such as text, images, sounds, graphs and other data types. Students will explore the core principles behind generative models, including advanced transformer
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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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Graph-based PowerShell Automate processes and improve service reliability through scripting and systems development Monitor, troubleshoot, and secure systems at scale while ensuring compliance with best
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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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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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domain tools (RDKit, molecular graph ML, ELN/LIMS APIs, instrument drivers) to build composite agents that plan, simulate, and execute DMTA tasks Prototype and iterate rapidly on agent planning strategies
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Applications: Not Applicable Required Other Computer Applications: Required Additional Knowledge, Skills and Abilities: 1. Ability to prepare for and collect data. 2. Ability to enter data and update graphs
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. Collaborative and collegial, demonstrates integrity Organized, able to maintain and coordinate multiple items. Excellent computer skills; proficient in data entry, analysis, graphing, Microsoft Office Familiarity
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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