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systems. Analyse mixed-methods data (quantitative biometrics + qualitative focus groups). Collaborate with educators, engineers, and industry partners. How to apply To apply, please ensure you have digital
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hybrid (symbolic and sub-symbolic) AI approaches to help users formulate and translate natural language questions into structured representations that can be linked to geospatial data sources and workflows
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education to working life. The PhD supervisor will be Senior Researcher Ingunn Ness. Please contact her for more information about the project. About the work tasks: investigate how multi-agent ecosystems
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the programme of study You will then need to provide the following information in the ‘Further Details’ section: · A ‘Personal Statement’ (this is a mandatory field) - upload a document or
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fault logs. Apply AI agents by integrating modern communication protocols to ensure reliable data transmission between IoT devices, LLM servers, and data repositories. (3) Machine learning for predictive
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, including among others the Journal of Management, Journal of Management Information Systems, Human Relations, Organization Studies, California Management Review, Work, Employment and Society, Human Resource
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Options Model. In this way, we encourage you to keep investing in your personal and professional development. For more information, please visit Working at Utrecht University . About us A better future for
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Description Where: At the Chair for Computational and Theoretical Biology ( CCTB ) and the Center for Artificial Intelligence and Data Science ( CAIDAS ) of the University of Würzburg. Project
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quantum remote sensing of atoms in the MLT. The new, flexible dye laser systems require hands-on work in optics (spectroscopy, laser physics) and software development for lidar control. Data evaluation is
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total of approximately 1,400 employees and 17,700 students spread across two inspiring campus environments in Karlstad and Arvika. More information at: kau.se/en/work-with-us Description The Faculty