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degree at the University of Helsinki, it must be applied for separately (www.helsinki.fi/en/research/doctoral-education/the-application-process-in-a-nutshell ). The requirements for pursuing a doctoral
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for separately (www.helsinki.fi/en/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
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to complying with the CoARA principles. Our application process is transparent, professional and international. We communicate openly with the applicants throughout the recruitment process. All appointment
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, University of Helsinki https://www.helsinki.fi/en/faculty-agriculture-and-forestry Viikki Campus https://www.helsinki.fi/en/about-us/campuses/viikki-campus Careers at the University of Helsinki https
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the research environment: Faculty of Agriculture and Forestry, University of Helsinki https://www.helsinki.fi/en/faculty-agriculture-and-forestry Viikki Campus https://www.helsinki.fi/en/about-us
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processing, machine learning, statistics or related fields. Demonstrated expertise in ML/AI, with prior experience of applications in the healthcare domain, particularly in cancer research considered a strong
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Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
multi-physics modelling of electrochemical processes can be a plus. We value candidates who are collaborative team players, intellectually curious, and open to exploring new research directions. A track
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of project fit during the interview process. We expect applications to reflect the applicant’s own thinking and writing. Other attachments (letters, certificates) are not required at this stage. Further
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development (https://www.helsinki.fi/en/about-us/careers ). How to apply A response to essential criteria (max 2 pages). Please ensure you provide demonstrated experiences from your previous work in relation
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) Questions? For further information on the position, please contact Professor Merja Heinäniemi, merja.heinaniemi@uef.fi , +358 403553842 For further information on the application procedure, please contact