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Field
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understanding of robotic manipulation, and build a record of high-impact publications. Job requirements PhD in Robotics, Mechanical Engineering, Electrical Engineering, Computer Science, or related field. Strong
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closely with leading industry and policy partners. The collaboration ensures that your work will not only contribute to the scientific knowledge but also shape practical strategies for companies. The role
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for computing performance guarantees of autonomous AI agents under uncertainty, which will be integrated to various degrees into a use-case with self-driving shuttles. Based on your experience and interests, you
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related to the project (e.g. Translation Studies, Digital Humanities, Linguistics, Literary Studies, Information Science, Computer Science, Cognitive Science/Psychology). Experience using eye-tracking as
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models and will act as a data science expert for other consortium partners. Information and application Are you interested in this position? Please send your application via the 'Apply now' button below
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: 12 September 2025 Apply now Join the faculty of Geosciences as a postdoctoral researcher! You will work on carbon turnover models and the fusion of data science forecasting methods with process-based
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, Information Science, Computer Science, Cognitive Science/Psychology). - Experience using eye-tracking as part of experimental research. - Experience with quantitative/qualitative methods (statistical methods and
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Interaction, Human–Computer Interaction, Design Research, or a closely related field (either completed or a defence date has been set). A strong research track record, demonstrated through publications, design
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undergraduate students. We focus on high quality teaching and research in the fields of human and economic geography, demography, and spatial planning. Our research program is titled TRACE (TRAnsformations
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candidate with a doctorate in computer science, mathematics, data science, or related field with relevant experience. A strong interest in clinical applications is essential. Candidates who expect to obtain