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agreed with supervisors. Publications are very important during the project duration. The researcher will be provided with supervision in a team with deep expertise on indoor and outdoor wireless
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; however, this becomes more complicated with the newest deep learning-based systems. To investigate the problem properly, we have assembled a highly skilled group of international collaborators with whom we
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to the development of deep learning methods to predict reaction outcomes and optimal reaction conditions for organic reactions. The work will involve model development using Python and/or other programming languages
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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