38 machine-learning "https:" "https:" "https:" "https:" "https:" positions in Finland
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-depth understanding of data and related algorithms, data analysis, and machine learning. Our cross-cutting theme is machine learning-enhanced computational engineering. You’ll have an excellent
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. Who are you? We are seeking a talented and motivated candidate to implement Artificial Intelligence/Machine Learning (AI/ML) algorithms for modeling and improving the observation of hydrological
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following themes: Traffic modelling and multimodal transport simulation Travel behaviour and choice modelling Network optimization and algorithmic methods Machine learning and data-driven approaches
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, computer vision and pattern recognition, atmospheric modelling, and computational spectroscopy. We focus on in-depth understanding of data and related algorithms, data analysis, and machine learning. Our
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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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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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Master’s degree in statistics, data science, machine learning, mathematical modeling, or similar area. Previous experience in working with Bayesian models and their computation and experience in ecological
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(PyTorch, Tensorflow etc.) Knowledge of multi-agent systems and autonomous agent modelling Expertise in Machine Learning and Artificial Intelligence We consider the following as an advantage: Willingness
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more than five years ago at the time of accepting the position (a net period of time, which does not include parental leave, military service etc.) good skills in spoken and written English prior experience
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offers education in automation, hydraulics, machine design, product development, mechatronics, robotics, control and systems theory, industrial informatics and production engineering and technology. There