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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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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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University of Eastern Finland Position ID: 3582-PHD [#26562] Position Title: Position Type: Other Position Location: Joensuu, North Karelia 80101, Finland [map ] Subject Areas: Operator theory
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Strong motivation to learn new methods and work independently, and as part of the team. Prior experience in one or several of the following: protein biochemistry, cell culture techniques, fluorescence
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with a background in Language Technology, Machine Learning, or Language Typology who are interested in automatic classification and analysis of hundreds of languages to undertake a PhD project exploring
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excellence through standard and customized omics data analysis, as well as to implement innovative machine learning, data integrative and multimodal solutions. The Center is located in the School of Medicine
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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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motivation to learn and adapt new skillsets, and readiness to work with diverse teams. Position details The doctoral researcher (PhD student) will be initially appointed for 2.5 years, on a fixed term
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skills in English (oral and written) are essential, as are enthusiasm for the topic, strong motivation to learn and adapt new skillsets, and readiness to work with diverse teams. Position details
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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