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experience in at least 2 of the following areas: quantitative analysis, ML and Data Science, artificial intelligence (AI), innovation studies, with a strong track record. Capability to learn and develop your
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scientific publishing. The applicant must demonstrate a strong track record in successfully applying for research funding and implementing research projects. We value strong expertise in forest regeneration
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applicant may be appointed to a fixed-term assistant / associate professorship (tenure track) (https://www.helsinki.fi/en/university/careers-at-the-university-of-helsinki/tenure-track-at-the-university
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research funding. The successful candidate will also take actively part in national discussion and be active in international networks. Our expectations of the applicant The research professor (tenure track
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researching rotation and continuous cover forestry methods used in the boreal zone, including research methodologies and scientific publishing. The applicant must demonstrate a strong track record in
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the whole programme, the lecturer hired here will have a central position in refining and co-ordinating the planning of the whole programme. The track name for the Faculty of Arts in the programme itself is
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research. Proven Team Culture: Join a highly collaborative team with an established track record of successful delivery, where knowledge sharing and mutual support drive our collective success. Flexible
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The objective of the research project is to update the methods for monitoring carbon sinks in the land use sector to obtain more accurate information about the status and changes in carbon stocks