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leading unit in Finland in its area and responsible for the teaching and research in computer science at the University of Helsinki. The main research fields at the department are artificial intelligence
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at the department are artificial intelligence, big data frameworks, bioinformatics, data analysis, data science, discrete and machine learning algorithms, distributed, intelligent, and interactive systems, networks
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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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care sector or in a business environment and using and teaching different types of simulation tools and artificial intelligence is considered as an advantage. Success in teaching requires good
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experience in at least 2 of the following areas: quantitative analysis, ML and Data Science, artificial intelligence (AI), innovation studies, with a strong track record. Capability to learn and develop your
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civil engineering, materials engineering, computer science or applied artificial intelligence. Related scientific publications are a plus. Excellent communication skills in English are required, and
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be used in many different applications, such as optical communication, computing, sensing and imaging. It is also linked to artificial intelligence and quantum technologies. We believe that PIC
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Assistant Professor/Associate Professor or Professor in Ecological Restoration of Urban Environments
-ecological diversity. As a result, the position includes working in and leading multi- and transdisciplinary working groups, including social sciences, the humanities, and artificial intelligence (AI