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or functional information and contextual metadata such as crop genotype, soil and environmental conditions; define and evaluate self-supervised learning objectives and embedding strategies, and benchmark
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information and contextual metadata such as crop genotype, soil and environmental conditions; • define and evaluate self-supervised learning objectives and embedding strategies, and benchmark their added value
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field predictions into numerical coastal dune models. You will start by evaluating current wind field predictions from the coastal dune model AeoLiS by comparing model output with existing field
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(e.g., walking, cycling) related physical activity; finetuning, evaluating, and improving model performance using local data and ensuring explainability, fairness, and robustness of the model outputs
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-modelling skills with an interest in societally relevant freshwater challenges. You bring: A PhD in hydrogeology, physical geography, earth sciences, civil or environmental engineering, or a closely related
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responsible for Work Package 3 (WP3) on identifying and evaluating actionable transition pathways. The team is led by Prof. Dr. Johan Schot at Utrecht University. ACT aims to accelerate the transition towards a
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will not be pre-assessed or pre-evaluated via email or phone; Only applicants with research experience (during or after their PhD) related to nature-based solutions, social innovation, or community
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scale. Besides PI’s Kraal and Wolthers, the PHOSFLUX team consists of a NIOZ-based PhD student performing experiments and analyses, and a UU-based postdoctoral researcher who focuses on modelling
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and image analysis can provide insights into such a corpus. Research will include testing, validation and evaluation on large scale and interoperable collections, in cooperation with the societal
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engineering, molecular cloning, genomics, and computational data analysis workflows. In addition you: have obtained, or are on track to obtain, a PhD with first or co-author publications/preprints in