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Council of Finland funded research project ‘Manicuring Intimacy: Feminised labour, (self-)care, and racialised encounters in nail salons’ (INTIMATE, 2025-2029). The position starts 1.1.2026 or as agreed 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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