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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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Researcher under the guidance of Dr. Ziying Wang in the Atomic Scale Physics group led by Prof. Peter Liljeroth. The group consists currently of 3 Academy Research Fellows, 1 Postdoctoral Researcher and 5
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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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consists of three professors, one emeritus professor, four university lecturers, and several postdoctoral and doctoral researchers. The Doctoral Researcher (PhD student) may also benefit from the activities
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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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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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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