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language processing (NLP) to analyse historical texts, literature, and cultural data. Experience with AI tools such as machine learning for sentiment analysis, data mining for social trends, or computational
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of Research ExperienceNone Research FieldPhysicsYears of Research ExperienceNone Research FieldTechnologyYears of Research ExperienceNone Additional Information Eligibility criteria PhD. in analytical chemistry
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for two years (up to maximum three years) with placement in Luleå. Starting: May 2026 For further information about the position, please contact Professor Maxwell Meju, (+46) 920-492261, maxwell.meju@ltu.se
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teaching-track faculty and 54 tenured and tenure-track faculty with wide-ranging research interests, and strong research groups in cybersecurity, systems and networks, machine learning and data mining
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are a plus has a strong profile in text and data-mining and has a notion of omics data integration is willing to work in a highly multi-disciplinary environment had academic good performances
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you be doing in this role: The Data Scientist delivers analytical solutions using programming, data mining, statistics, machine-learning, and visualization techniques. Responsibilities include querying
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and curricular innovation, is seeking a passionate and innovative Lecturer/Teaching Assistant Professor of Sports Media to help shape the future of sports storytelling. This position offers a unique
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Brandenburg University of Technology Cottbus-Senftenberg • | Cottbus, Brandenburg | Germany | about 9 hours ago
. For further information about pursuing a PhD or doctorate at BTU, please refer to the website of the BTU Research Department . Brandenburg University of Technology Cottbus-Senftenberg The BTU welcomes you to
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analytics More information can be found at https://smi.uq.edu.au/mishc About This Opportunity This is an exciting opportunity for a Professorial Research Fellow to work within the Minerals Industry Safety and
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pillar areas of our PhD program, this position is expected to contribute to research and teaching connections with the adjacent pillars (Systems and AI) and other areas, including Cybersecurity, Data