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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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is to apply theories, models, and methods from psychology to improve Human-AI interaction. Your network and team The Aalto Engineering Psychology Group concentrates on research in human-AI interaction
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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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by the University of Turku). Particular attention in the evaluation will be paid to the following: Quality of the research plan (general quality, feasibility, relation to doctoral programme research
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for a study right can be found here . Criteria used in the selection of doctoral researchers for fixed-term doctoral researcher positions include: The quality of the research plan and its feasibility in
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of analysis, timetable, publication and funding plan, consideration of ethical aspects, as well as the scientific quality and innovativeness of the research plan. We offer you An interesting position as part of
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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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benefits to its employees, including: Occupational health care. Flexible working hours suiting various life situations. Access to high quality sports facilities. Opportunities for professional development
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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