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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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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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/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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behaves and how it is produced in complex health care processes. Statistical modelling: Depending on your previous competence, building advanced statistical, causal, and predictive models describing disease
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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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with their transition to living and working in Finland. Application Process Please submit your application as a single pdf file, comprising the following documents in English: A motivation letter
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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