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facilities, and opportunities for professional development (https://www.helsinki.fi/en/about-us/careers ). YOUR PROFILE PhD in biology, mathematics, or a related field Strong background in mathematical
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within the research project “From Clay to Code: Investigating Microbial Evolution in Response to Human Influence” funded by the Helsinki Institute of Life Sciences (HiLIFE). The project aims to establish a
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of Helsinki offers comprehensive services to its employees, including occupational health care and opportunities for professional development. Please read more at https://www.helsinki.fi/en/about-us/careers
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and the services they provide. The successful candidate will play a key role in developing and applying economic models to assess impacts of biodiversity change on ecosystem service provision
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. The project already includes existing datasets and established pipelines, and the successful candidates will contribute both by analyzing and extending these resources and by developing new data and approaches
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-effectively predicting the rate of massively multicomponent organic, or organic-enhanced, new-particle formation in the atmosphere. We will combine our molecular-level model development with machine learning
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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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occupational health care and health insurance, sports facilities, and opportunities for professional development. University assists employees from abroad with their transition to work and life in Finland (https
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occupational health care and health insurance, unemployment and pension fund, a generous holiday package, sports facilities, and opportunities for professional development (https://www.helsinki.fi/en/about-us
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development (https://www.helsinki.fi/en/about-us/careers ). Required qualifications PhD (or near completion) in evolutionary biology, ecology, genetics, or related fields. Expertise in molecular genetics