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microscopy, structural biology, cryo-electron microscopy. Interest in learning quantitative image analysis methods and/or structural biology methods. Team-oriented and proactive mindset. Excellent oral and
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protein(s). We are supported by top-level local core facilities in proteomics, as well as light and electron microscopy and sequencing. The project entails collaboration with other teams and universities
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detailed virological, cell biological, or biochemical/structural characterization of the selected protein(s). We are supported by top-level local core facilities in proteomics, as well as light and electron
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through the University of Helsinki electronic recruitment system by clicking on the link below. Current University of Helsinki employees must submit their applications through SAP Fiori’s Suffeli
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of Helsinki Recruitment System via the "Apply now" button below. Use your current email address to register to the Recruitment System. Internal applicants (i.e., current employees of the University of Helsinki
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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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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