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candidate will work with Prof. Tapio Pahikkala (http://staff.cs.utu.fi/~aatapa/ ) and Dr. Nina Dresing (https://www.utu.fi/en/people/nina-gieseler ) in their Research Council of Finland project AIPAD, which
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, modelling and simulation of photonic systems, sensor systems, signal processing and device manufacturing, development of machine learning algorithms, and design of optical communication networks or power
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modelling, advanced AI algorithms, and decision-support tool development for various hydrogen technologies-based energy systems. Responsibilities will include programming, analysing and interpreting data, and
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processing. The Structured and Stochastic Modeling Group, headed by Prof. Filip Elvander, conducts research in statistical signal processing, ranging from investigating fundamental properties
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team lead by Prof D Bonnet at the Francis Crick Institute but will also be involved in the overall ERC synergy project involving two other groups, lead by Prof Ilaria Malanchi and Prof Francesca
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through interaction with their surrounding environment. Embodied AI requires tools, algorithms, and techniques to cope with real-world challenges including but not limited to uncertainty, physical
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the group of Prof. Dr. Barbara Wohlmuth is a project-independent research position without teaching obligations. It offers the opportunity to pursue project-independent research in one of the group’s numerous
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the area of Machine Learning for Engineering Design under the guidance of Prof. Mark Fuge, the Chair of Artificial Intelligence in Engineering Design. The general area of the laboratory covers the study of
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The Data Integration in the Life Sciences group, led by Prof. Dr. Katharina Baum, is seeking a motivated student assistant to contribute to the cutting-edge, BMBF-funded research project Act-i-ML
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by Prof. Marcel Oliver, is part of the Mathematical Institute for Machine Learning and Data Science (MIDS) at the KU Eichstätt-Ingolstadt. The research group works at the intersection of analysis