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experimentation to develop integrative metamodeling approaches, qualitative systems analysis methods and causal graph-based solutions for machine learning. The team aims to advance innovative and robust solutions
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train a new generation of engineers through Industrial Doctorates, equipping them with cutting-edge expertise in AI, robotics, and mechanical engineering. Together, we’re building the future of smart
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research hub at the Tampere University, Finland, with activities ranging from nanofabrication, nonlinear and theoretical optics, metamaterials, and laser developments. Tampere University also leads the
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understanding of information and knowledge management. Our doctoral researchers develop technological and business expertise that allows them to create new scientific knowledge and address societally significant
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. The application areas are diverse, ranging from quantum devices to medical technologies. Overall, modeling and simulation tools developed in Computational Physics have increasing role in fundamental sciences, and
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Control Strategies for Autonomous Driving (HUMINAC). The project focuses on developing novel, human intention–aware control strategies at the intersection of machine learning, reinforcement learning, and
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, biophysics, biochemistry, systems and cell biology. In MEDI unit, genome wide methods, computational approaches and experimental models are developed and utilized to understand the mechanisms of diseases, e.g
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into a strong research hub at the Tampere University, Finland, with activities ranging from nanofabrication, nonlinear and theoretical optics, metamaterials, and laser developments. Tampere University