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stress. We want to understand how mechanosensitive membrane microdomains maintain normal cellular processes and how changes in their structure and biophysical properties lead to diseases. Your profile
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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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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