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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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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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needs to have relevant language skills (e.g. Thai, Vietnamese) to be able to conduct interviews with the workers of nail salons. Working at the university requires strong communication and academic
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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