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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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microscopy, structural biology, cryo-electron microscopy. Interest in learning quantitative image analysis methods and/or structural biology methods. Team-oriented and proactive mindset. Excellent oral and
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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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contribute to several aspects of the project, including the analysis of EUV observations (both on-disk and off-limb) and in-situ measurements, modeling of coronal magnetic fields to map magnetic connectivity
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undertake an independent project on Asian nail salons in Helsinki that will lead to a PhD dissertation. The doctoral researcher will participate in the collection and analysis of the empirical materials