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for the position Names and contact information for two references The application deadline is 31.8.2025. We will immediately start to review applications until the position is filled. APPLY NOW We strongly encourage
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position from 01.10.2025 of a Postdoc Position at the Research Group Data Mining and Machine Learning at the Faculty of Computer Science, University of Vienna under the supervision of Prof. Claudia Plant
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learning. The post-holder will be familiar with the use of these techniques and experience of dataset construction and data mining will be essential. The successful applicant will have completed an MPhil/PhD
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Framework (RDF). enables advanced data mining queries using the SPARQL query language. provides a natural language-based interface to perform these queries on the knowledge graph using a large language model
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Location of Position (City) Rapid City Posting Text The Arbegast Materials Processing and Joining (AMP) Laboratory at South Dakota Mines invites applications for a Postdoctoral Researcher. This is a full
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amenable to therapeutic targeting. This position will involve the application of advanced data science approaches to explore large-scale clinical datasets extracted from electronic health records, with
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Researcher / Postdoc for molecular investigations on microbial ecology in deep-sea polymetallic n...
’) are compared to ‘post-impact’ investigations, covering a period from days to years after simulated manganese nodule mining. The focus of the position advertised here in the third phase of the project will be
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and data mining tools, and be able to work on group software projects using modern tools and environments. Interest in applying AI within the defence and security sectors is essential, but experience in
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of software engineering techniques to ensure interoperability of their modelling and mining ecosystem. This position will run from October 2025 (or shortly after) and it has an expected duration of 24 months. A
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A postdoctoral position is available for highly motivated individuals with a background in Computational Neuroscience to analyze complex time-series data from ongoing 2-photon microscopy experiments