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, funded by NWO, EMBRACER brings together a wide range of world-leading climate experts with the aim to address existing uncertainties about climate feedbacks at the boundaries between oceans, land, ice, and
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uncertainty from environment perception and your own state estimation, and then integrating it into a newly developed trajectory and behavior planner. The goal is to enable safe, reliable and highly dynamic
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uncertainty, modality dropout, and noise propagation, which can degrade robustness and erode trust in model outcomes. This project aims to create a unified framework for building lightweight, data-efficient
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by developing AI methods that improve recognition of rare species while providing reliable measures of uncertainty. Using state-of-the-art computer vision approaches — vision transformers, self
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to effectively communicate complex and novel research. Opportunities to develop lab demonstration/teaching experience. The confidence to deal with uncertainty and tackle any problem without a defined final answer
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/teaching experience. The confidence to deal with uncertainty and tackle any problem without a defined final answer. Desirable Skills (an advantage, not a requirement) Data analysis skills in python. Granular
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processes, exploring wave energy propagation and other marine hydrodynamics towards minimising uncertainty of low resolution datasets Participate in research aimed at the dynamical downscaling of ocean models
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integrated energy systems, including correlations between energy grids, uncertainties and simultaneous peak loads. In this project, Digital pathways for accelerating collective decision making of energy
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PhenoRob experimental field sites, equipped with Eddy Covariance towers, to generate digital twins and quantify model uncertainties. For further information visit our website http://www.fz-juelich.de/ibg/ibg
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implementing models that integrate ecological dynamics, species traits, phylogenetic trees, and economic discounting; ● Devising Bayesian or POMDP frameworks to handle uncertainty about species interactions