10 data "https:" "https:" "https:" "https:" "https:" "https:" positions at University of Oulu in Finland
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experiments and existing monitoring data on biotic communities at different temporal and spatial scales coupled with environmental data from various sources. Our key interests lie at the bottom of the food
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to building and evaluating machine learning models for multiple chronic diseases in real-world data and cohort studies. To successfully work in this position, experience of data-driven analytical
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-based physiological measurements, and radar signals. Contribute to the design of data collection protocols, sensor synchronization, data annotation, and research data management. Evaluate associations
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science and freshwater ecology and to work together with world-class research groups. Oulanka research station is very strong both in long-term data and experimental work and systems, and each of these
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learning, emerging technologies, and data-driven approaches to understanding and supporting learning across educational contexts. About the job The positions are part of the Research Council of Finland
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collaboration with the mining industry. Experience in securing research funding and publishing scientific research. Having experience in petrology, data analytics, modelling, and mineral economics, and
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mediating plant biodiversity response to global changes. A suitable combination of these questions/ideas will be developed together with the project leader. We use already existing data (ready to be
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other data, for with collection and validation across many instruments and datasets will be performed. You will closely collaborate with the SOCRATES project PI and the wider research group working on
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recruitment committee will undergo an expert evaluation assessing the following merits: Scientific excellence: Research outputs, such as publications, research data, methods, scientific quality, openness
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evaluation assessing the following merits: Scientific excellence: Research outputs, such as publications, research data, methods, scientific quality, openness, scientific renewal, and impact Research