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We are hiring two PhD-candidates for a project that investigates language-related degree-awarding gaps in Dutch higher education. Are you interested in using AI and text mining for investigating
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essential tool for training and testing of AI models and control systems for robots and autonomous vehicles. In a digital environment, large amounts of annotated training data can be created safely and easily
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16 Sep 2025 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Computer science » Cybernetics Computer science » Programming Researcher Profile First Stage
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/RDF knowledge graphs, SPARQL endpoints, and open benchmarking suites to guarantee FAIR, reusable research data Mine and link structure-property relationships from DFT, MD, phase-field, TEM/SEM, and
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Leibniz-Institute for Plant Genetics and Crop Plant Research | Neu Seeland, Brandenburg | Germany | 3 months ago
21 Aug 2025 Job Information Organisation/Company Leibniz-Institute for Plant Genetics and Crop Plant Research Research Field Agricultural sciences » Agronomics Agricultural sciences » Other
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strong focus on empirical research, conducted in close collaboration with software development practice. SERG is known for its research on software testing, program analysis, mining software repositories
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30.06.2025, Wissenschaftliches Personal The Chair of Software Engineering for Business Information Systems (sebis) at the Technical University of Munich is looking for outstanding candidates
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Status: Closed Applications open: 1/09/2024 Applications close: 30/09/2024 View printable version [.pdf] About this scholarship Description/Applicant information The MRIWA Odwyn Jones PhD
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. The successful candidate holds/or are about to receive a Master of Science degree in computer science, data science, or a related area, and have strong background in algorithmic design, data mining, machine
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datasets (e.g. scRNA-seq) to derive prior knowledge on AML dormancy Develop and apply integrative data analysis pipelines (e.g. MOFA, Scriabin, LIANA+, COSMOS) for mining and interpreting multi-omic datasets