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and artificial intelligence methods, targeted validation experiments. The project is funded by The Research Council of Finland. In the first stages of the project the research tasks include test and
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organic, or organic-enhanced, new-particle formation in the atmosphere. We will combine our molecular-level model development with machine learning and artificial intelligence methods, targeted validation
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funding. The start date is 1 September 2026. The appointee is expected to reside in the Helsinki Metropolitan Area during the employment. QUALIFICATIONS AND EVALUATION Applicants are required to hold a PhD
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activities (approximately 16% of working time) and supervising PhD students in applied economics research at the University of Helsinki. In addition, the researcher can use up to 50 per cent of their working
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applied industrial economics with ample opportunities for individual and collaborative research, acquisition of external research funds, and supervising MSc and PhD students. We seek candidates who have
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funds, and supervising MSc and PhD students. We seek candidates who have completed a PhD in economics or agricultural economics, who have solid training in econometrics and applied microeconomics and
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The position requires: A doctoral degree relevant to the project (e.g., biology, genomics, evolutionary biology) Less than seven years since obtaining the PhD Ability to conduct independent scholarly work Strong
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for your next career stage. Your profile Recent PhD in Cell Biology, Neuroscience, Biochemistry or a related discipline. A strong academic track record, and at least one recent first-author publication
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diverse backgrounds to apply for our positions. YOUR PROFILE PhD in statistics, mathematics, biology, evolutionary anthropology or a related field Strong background in statistical and mathematical modelling
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, news broadcasts and instruction manuals. RESPONSIBILITIES The post-doctoral researcher will participate in building a large multimodal corpus of news broadcasts in Finnish, Finland-Swedish, Sámi and