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. Job description The purpose of the job is to create new knowledge for academia and industry in the fields of computational imaging, optics and machine learning. The research project aims at jointly
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Validation of Integrated Approaches (FHAIVE ). The researcher will focus on applying machine learning (ML) techniques to knowledge graphs (KGs) for advancing projects in chemical safety, toxicology, and drug
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-oriented disciplines, and data science seeks to build models and extract meaningful information from large amounts of complex data. Machine learning, artificial intelligence and data-drivenness cut across
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disciplines, and data science seeks to build models and extract meaningful information from large amounts of complex data. Machine learning, artificial intelligence and data-drivenness cut across all our
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estimation and data fusion, AI and machine learning techniques, collaborative positioning methods for threat localization, etc.. The researcher will participate in all the PhD-related activities (attending
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a related quantitative field. The position requires: Programming Proficiency: Experience in R and python programming, including data science and Machine Learning packages Experience in R and python
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and control and software development. All topics have a heavy focus on AI-based methods (e.g., machine or deep learning) and their real-time execution on real robot systems. Research takes inspiration
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, machine learning and robotics. Job Description As technology increasingly integrates human and machine/robot operations, ensuring robust, seamless control in environments with variable or limited
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cluster around wireless communications, intelligent machines, and imaging. Nokia designs the most advanced chips in Europe for 5G on the latest IC technology nodes in Finland, and Industry 4.0 companies