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daria.krivonos(at)helsinki.fi . If you have any questions, need assistance, or require accommodations during the recruitment process, please contact HR Specialist Minna Toivonen hr-sskh(at)helsinki.fi – we
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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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/research/doctoral-education/the-application-process-in-a-nutshell) . The requirements for pursuing a doctoral degree at the University of Helsinki can be found at https://www.helsinki.fi/en/research/doctoral
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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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for any references. Applications will be processed already before the deadline and the position will be filled as soon as a suitable candidate is found. Deadline for submitting applications is September
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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
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experimentalists and clinical partners to understand and model biological processes and disease phenotypes Supervise and mentor students, and assist other team members in experiment planning, data processing and
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, we study how actin operates in the nucleus to regulate nuclear organization and consequently nuclear processes. The successful candidate(s) will focus on the mechanisms by which actin regulates