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. We are taking part to a Marie Skłodowska-Curie Doctoral Network project “Advancing Energy Conversion Technologies: High-Frequency Magnetics in Modern Power Electronics” (MAGNIFY). The project is a
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disease, found both in tropical and temperate regions. The laboratory aims to establish a comprehensive view of host interaction during alphavirus replication by identifying host proteins that assist in
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host interaction during alphavirus replication by identifying host proteins that assist in virus replication. We aim to understand the specific actions that each host factor performs during virus
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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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oxygenates production. In this project, we particularly aim green methanol production in the context of circular economy. The research activities in this doctoral thesis are planned with the view of developing
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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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stability theory, modeling & identification, optimal control, certifiably safe & robust control, and learning for dynamics & control. The main task of the PhD student will be to develop sound data-driven
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the design and implementation of Open Science/Open Source practices very good in teamwork in an interdisciplinary collaboration setting very good English skills What we offer By working in our group, you would
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researchers, other researchers, and supervisors in the doctoral programme and Graduate School. We take care of your well-being at work and the functionality of your everyday life with the help of our well-being