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of using quantum algorithms in their simulation tasks. We expect the applicant to have strong experience on quantum computing and/or quantum inspired classical algorithms targeted to such simulations, along
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on the development and applications of quantum machine learning algorithms, more specifically the optimization of variational quantum circuits, but also other topics can be explored depending on your interests. You
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R, algorithms and systems designed to extract insights from large datasets. Experience with integrating and analyzing diverse data sources, such as biodiversity (e.g., the IUCN Red List of Species and
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; Modelling object motion and potentially the airflow field; Developing motion control and planning algorithms for precise manipulation; Conducting experimental validation to verify theoretical models and
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optimizing the optics and inverse imaging algorithms for compact camera designs employing machine learning to achieve image quality for a certain task. The research goals are specified as follows: Develop
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essential areas of Information Technology. We develop methods, theories, and technologies for digitalized data and the information centric society. Strong mathematical, algorithmic, and computational thinking
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processes in groups and organizations human-algorithm interaction and its implications for the management of people, teams and organizations the use of people analytics in organizational development people
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the Materials Informatics Laboratory https://sites.utu.fi/mil/ , which is a multi-cultural and cross-disciplinary team. The computational group combines algorithms from artificial intelligence with materials and