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of ecosystem ecology, microbiology, and computational modelling. What we can offer: Our research training environment features some of the most advanced environmental research infrastructure in Canada
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combined with in-situ validation data, including reflectance measurements and ecological surveys. This dataset will form the foundation for accurate training and validation of image classification models
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(internalizing psychopathology) and Dr. Glenn Kiekens (self-damaging behaviors). Together with these teams, your duties will include: Analyzing high-frequency ecological momentary assessment (EMA) data, Applying
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-ecological sustainability and value considerations can be systematically integrated into early-stage design and decision-making. The research objective is to support the acceleration towards sustainable and
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these advancements to disentangle and model behaviourally-relevant visual and semantic dimensions of visual cognition in the human brain, while increasing the ecological validity of experiments (including mobile EEG
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-supervised learning, and few/zero-shot techniques — the student will adapt models to ecological data. Bayesian deep learning and ensemble methods will be explored for trustworthy uncertainty estimation
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processes and infrastructures Development of control concepts for highly dynamic and load-flexible plants Coupling of technical, economic and ecological perspectives for optimised process design Experimental
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performance under environmental stress. Training in geospatial analysis and ecological modelling will enable predictive insight into urban ecosystem dynamics. You will develop expertise in stakeholder
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the services nature provides to people. The position will combine ecological data analysis with statistical and spatial modeling to quantify chemical impacts across multiple levels of biological
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» Other Environmental science » Ecology Environmental science » Other Researcher Profile Established Researcher (R3) Country Finland Application Deadline 19 Jan 2026 - 14:00 (UTC) Type of Contract Temporary