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research proposal, as well as the ability and motivation, as demonstrated in previous degree studies and otherwise, to pursue postgraduate studies and a doctoral degree according to the study plan and
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of the doctoral researcher is to study emergent electronic phenomena in two-dimensional materials by gate-tunable scanning tunneling microscopy (STM). Typical examples of these materials include van der Waals
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-, energy- engineering or related fields. Fluent written and verbal communication skills in English are required, as well as ability to work independently as part of a group in an international environment
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an employment contract you are required to have an active right to study in the DPT doctoral programme. In addition, you must demonstrate the ability to undertake doctoral studies and complete a doctoral degree
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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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acquiring the degree or otherwise, you are required to have demonstrated the ability and motivation to undertake postgraduate studies and the capacity to complete a doctoral degree in accordance with
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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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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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Professor Mika Nissinen, tel.: +358 50 301 4844, email: mika.nissinen@uef.fi . For more information about the application process, please contact HR Specialist Airi Leppänen, tel.: +358 29 445 5171, email
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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