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is part of the Aalto Hydrogen Innovation Centre Doctoral School (https://www.aalto.fi/en/aalto-university-hydrogen-innovation-centre/hydrogen-innovation-centre-doctoral-school ), which is an active
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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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the research plan (University of Turku Rules of Procedure 20.5.2022). If you have not yet been granted a right to study, you must apply for a right to study for a doctoral degree in the Doctoral Programme on
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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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in accordance with the research plan. If you have not yet been granted a right to study, you must apply for a right to pursue a doctoral degree in the DPT doctoral programme by filling in an electronic
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drug design” is led by Docent Juri Timonen, at the Division of Pharmaceutical Chemistry and Technology. Our aim is to create new machine learning and artificial intelligence methods to accelerate drug
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, including a description of the applicant’s research interests and contributions to the project (max. 500 words) A research plan (max. 6 pages) Degree certificate: Master’s degree Contact information of two