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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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INFORMATION Further information on the position and the working environment may be obtained from Associate Professor hanna.wass@helsinki.fi . Further information on the recruitment process may be obtained from
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backgrounds. Further information about the position is available from Professor Eetu Mäkelä, (eetu.makela@helsinki.fi ), and about the recruitment process, from HR Specialist Reeta Korhonen, (hr-humtdk
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emission and its underlying processes. The lack of continuous observations of CH4 turnover hinders our understanding of CH4 emission variability and the predictability of mechanistic CH4 models. We aim
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Professor hanna.wass@helsinki.fi . Further information on the recruitment process may be obtained from HR Specialist Minna Maunula, minna.maunula(at)helsinki.fi The Faculty of Social Sciences is Finland’s
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Group Leader. Please include the names and contact details of three academic referees who may be contacted during the evaluation process. Applications will be evaluated by an Appointment Committee. Short
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of Helsinki, it must be applied for separately, please see: https://www.helsinki.fi/en/research/doctoral-education/the-application-process-in-a-nutshell Please check the admission periods and eligibility
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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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processing and interpretation of results Contribute to writing scientific articles, and grant applications, present your work in international scientific conferences Take part in open science and collaborative
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. assist other team members in experiment planning, data processing and interpretation of results Contribute to writing scientific articles, and grant applications, present your work in international