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. The handling of unseen languages remains without real solutions, despite the research community having made a few practical excursions, such as using trash language models or confidence thresholds
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stability theory, modeling & identification, optimal control, certifiably safe & robust control, and learning for dynamics & control. The main task of the PhD student will be to develop sound data-driven
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economy. The group aims for analyzing the technologies within this context through experimental and systematic model-based analyses. Scientific publications by the group can be viewed in Publications and
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on interactive Artificial Intelligence (AI). The research will focus on user studies and interactive AI systems. This position will be funded based on an initial 2-year contract + 2 years extension. The key idea
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to the development of deep learning methods to predict reaction outcomes and optimal reaction conditions for organic reactions. The work will involve model development using Python and/or other programming languages
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is part of the newly funded Research Council of Finland project Redefining Inner Boundaries in Solar Wind Models (RIB-Wind), led by Dr. Stephan G. Heinemann. The preferred start date is October 2025
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development. The successful candidate will contribute to the development of deep learning methods to predict reaction outcomes and optimal reaction conditions for organic reactions. The work will involve model
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(1 position) The unit of Industrial Engineering and Management examines the production and economic activities of technology-based organizations comprehensively. Research interests in Industrial
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degree in the Doctoral Programme in Administrative Sciences, Business Studies and Politics, before signing the employment contract. Successful candidates are selected based on the level of scientific
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opportunities for professional development. The salary is based on the collective agreement followed by Finnish universities, with a starting salary 2 646 € / month. How to apply Please submit your application