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for Ecological Transition (ADEME). Together, these projects seek to improve our understanding of ozone formation in the atmosphere and to contribute to the design of effective strategies for reducing ozone
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of the model or their parameterization based on the results from the model-data comparisons Publish results in scientific journals with highest scientific standards Your Profile PhD degree in Ecology
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on landscape and residential environment design, disaster prevention planning, ecological and environmental analysis technologies for environmental coexistence, and corporate and regional management
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statistical and quantitative modelling. The successful candidate will contribute to projects on flow-ecology relationships and habitat suitability modelling for freshwater organisms and will be comfortable
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networks for deep learning on dynamic graphs. arXiv preprint. Trantas et al (2023). Digital twin challenges in biodiversity modelling. Ecological Informatics. Borowiec et al (2022). Deep learning as a tool
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description The position is ideally suited for candidates with interests in Arctic ecology, movement ecology, population dynamics, and ecological modelling. As part of the position, you will be: co-developing a
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Assistant Professors - Ecological Consequences of Climate Engineering Salary Range: $140,000 - $180,000 a year The University of Chicago's Department of Ecology & Evolution in the Biological
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candidate will undertake tasks in WP2 on the AI4MAP project focusing on developing deep learning models for ecological perception and characterisation of Posidonia oceanica seagrass. The tasks include
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interface of bioinformatics, microbiome ecology, and metabolomics, contributing to both computational analyses and laboratory workflows. This position offers the opportunity to lead integrative projects
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applied questions such as environmental management and risk assessment. For more information on EnvStat, please see https://www.helsinki.fi/en/researchgroups/environmental-and-ecological-statistics A