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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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persons available for recommendation The closing date for the applications is 30.9.2025. Shortlisted candidates will be interviewed. For queries regarding the position, get in touch with Dr. Daria Krivonos
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one pdf file with us: Letter of motivation CV Degree certificates and transcript of records (BSc and MSc) Contact details of at least two referees (or letters of recommendation, if already available
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date for applications is 12.9.2025 at 16.00 (Europe/Helsinki). It is recommended that the application documents be written in English. Applicants should enclose with their application the following