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research focuses on Materials physics, Quantum technology, Soft & living matter, and Advanced energy solutions. Topics extend from fundamental research to important applications. We educate future
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probably fair to say that an artificial neural network can perform better than a human in any environment it has complete knowledge of. These developments however impose growing demand on our computing
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We invite applications for a Postdoctoral Research Associate in developing AI tools to integrate multimodal health data such as genetics, electronic health records, and molecular measurements in
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role will be to help shape and develop this project through original independent research; co-running academic and public events; developing solo and collaborative outputs for academic and general
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environment it has complete knowledge of. These developments however impose growing demand on our computing capabilities, including both the size of neural networks and the processing rate. This is particularly
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the Finnish Center of Excellence in Quantum Materials . Your role and goals The research will focus on developing and using machine learning algorithms to discover novel materials and to build generative models
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, meaning that familiarity with one or more cloud-based platforms such as Google Earth Engine, Microsoft Planetary Computer and/or Amazon Web Server/similar is essential. It will also involve the development
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viewing conditions and across languages. By combining behavioural methods with machine learning, it aims to develop physiologically-based models of lexical colour categorisation. This is a multidisciplinary
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Biotechnology research at Aalto University. The lab will develop next-generation methods to evaluate, understand, and engineer biodegradation of polymers such as plastics, microplastics, and textile-derived