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with a background in Language Technology, Machine Learning, or Language Typology who are interested in automatic classification and analysis of hundreds of languages to undertake a PhD project exploring
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. The position is closely linked with the Finnish mobile machine industry. The industry employs 45,000 people, generates €19 billion in revenue, and accounts for over 10% of national goods and services exports. It
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of living together, in this position with reference to migration-related diversity. The position contributes to advancing methodological innovation through the creative and reliable use of machine learning
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to teach courses in key areas such as computer architecture, compilers, and other topics related to hardware and low-level programming. An excellent command of English is required for teaching. This position
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to deploy machine learning to support data analytics and complex decision-making processes. Knowledge of modern SW-tools in the area of energy and sustainability is highly beneficial. Your role and goals You
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must have completed their doctoral degree less than five years ago at the time of starting in the position (a net period of time, which does not include parental leaves, military service etc.). good
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design and analyse separation processes, develop data-driven or AI-assisted tools, or generate high-quality experimental data that supports method development, modelling, and machine learning. You will
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, the social dynamics of human-AI collaboration, and advanced machine learning within engineering. Generative AI is fundamentally reshaping how engineers access domain-specific knowledge, interact with
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research and education. Our universities community has its competitive edges in technology, health and society. www.tuni.fi/en Mobile working machines (MWM) are critical to industries like construction
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to bridge preclinical findings with clinical applications. Through advanced computational approaches, machine learning, and AI-driven neuroinformatics, we extract meaningful patterns from omics, imaging