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of Biotechnology at the University of Helsinki. We study structural mechanisms and biological functions of mechanosensitive membrane microdomains. By using a combination of structural biology, biochemistry, in vitro
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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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is part of the Aalto Hydrogen Innovation Centre Doctoral School (https://www.aalto.fi/en/aalto-university-hydrogen-innovation-centre/hydrogen-innovation-centre-doctoral-school ), which is an active
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drug design” is led by Docent Juri Timonen, at the Division of Pharmaceutical Chemistry and Technology. Our aim is to create new machine learning and artificial intelligence methods to accelerate drug
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will be evaluated based on the following criteria: scientific and societal relevance, goals, theoretical framework and concepts, mastery of research literature, plan for data collection and methods
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; however, this becomes more complicated with the newest deep learning-based systems. To investigate the problem properly, we have assembled a highly skilled group of international collaborators with whom we
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of their individual skills and talents. With this clear commitment to a diversity-based university culture, we have created a motivating work environment that fosters job satisfaction and invites our staff
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in accordance with the research plan. If you have not yet been granted a right to study, you must apply for a right to pursue a doctoral degree in the DPT doctoral programme by filling in an electronic
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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
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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