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-engineering-and-automation/nonlinear-systems-and-control ) at Aalto University explores synergies between nonlinear control theory and physics informed machine learning to provide formal guarantees
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learning tools to recommend reaction conditions for the synthesis of novel TRPA1 inhibitors. The project “A machine learning approach to computer assisted drug design” is led by Docent Juri Timonen
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Grant, focusing on the development of novel deep learning tools to recommend reaction conditions for the synthesis of novel TRPA1 inhibitors. The project “A machine learning approach to computer assisted
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at Aalto University (https://into.aalto.fi/display/endoctoralsci/How+to+apply#Howtoapply-Eli… ) a Master’s degree in Artificial Intelligence, Machine Learning, Computer Science, Cognitive Science
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is an exotic and safe country to work in. Please visit the Life in Finland section on our website to learn more. How to apply Applications must be submitted by 23 October 2025 via the online
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sustainable future. Support, coaching and sparring when you feel you need it. Great possibilities for competence development and learning. We constantly keep learning to find the most impactful ways to empower
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studies. The contract includes Aalto University occupational healthcare. Our vast array of professional development opportunities means you will grow and learn, having the chance to participate actively in
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for Researchers. The university offers good support and orientation for international hires. Please learn more about the Finnish culture and relocation to Finland: City of Turku Welcome visitor International House
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peer-reviewed journals To attend and participate in research and training activities within the international DECADOCS network and local courses of the doctoral programme To teach and disseminate
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, skills and learning Child and adolescent psychosocial well-being and mental health Public health and health equity Our goal is to improve the sustainability of the welfare state with evidence-based