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field. Existing skills and knowledge in electronic device nanofabrication and clean room processing of 2D materials (required). Skill sets of handling low-temperature and ultra-high vacuum systems
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: Professor Eija Vinnari, Head of Doctoral Programme, eija.vinnari[at]tuni.fi For more information about the recruitment process, please contact: HR Specialist Anni Zilliacus anni.zilliacus[at]tuni.fi
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received before September 29th 2025 (23:59 EET (GMT+2)) will be given guaranteed consideration. Applications will continue to be processed and reviewed following this date until the position is filled, but
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daria.krivonos(at)helsinki.fi . If you have any questions, need assistance, or require accommodations during the recruitment process, please contact HR Specialist Minna Toivonen hr-sskh(at)helsinki.fi – we
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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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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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get the possibility to join a top-notch research environment in human-computer interaction and have a strong collaboration with other research groups in Aalto and the EU. You would also be able