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reconstitution, cell biology, and fluorescence microscopy imaging tools, we aim to uncover how protein-membrane interactions promote membrane microdomain formation and how these structures respond to external
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conditions (around 0.1 au from the Sun). By combining high-resolution remote sensing data (especially EUV spectral imaging) with advanced simulations, RIB-Wind seeks to more accurately characterize the solar
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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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30 Aug 2025 Job Information Organisation/Company University of Turku Research Field Economics » Other Geography » Human geography Medical sciences » Other Sociology » Socio-economic research
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the selection process, consideration will be given to the applicant’s research plan, previous academic performance, international orientation, research merits, the duration and progress of any previous funding
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a comprehensive multi-perspectives analysis approach, essential to track the impacts of the characteristics in different scales of the investigated processes on their overall techno-economic
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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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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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recruitment portal. Further information about the position can be obtained from Tommi Jauhiainen (tommi.jauhiainen(at)helsinki.fi ). Additional information about the recruitment process can be obtained from HR