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systems increasingly provide personalized recommendations in domains such as nutrition and lifestyle. However, many recommender and prediction systems rely heavily on opaque machine learning techniques
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opportunity to work in a top-tier interdisciplinary setting. This is what you will do You will develop predictive computational models to capture the formation and heterogeneous structure of microthrombi, with
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use. Frequently, even higher resolutions do not capture dynamic drivers. This mismatch limits the utility of climate projections for predicting localized glacier change. This project aims to close
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. Today, the ocean is changing rapidly because of (human) stressors such as excess CO2, warming and eutrophication. This impacts on the strongly linked but poorly understood ocean processes that control
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of interest to you. PhD position combining high dimensional data for the genomic prediction of methane emissions. Wageningen University & Research’s Animal Breeding and Genomics group leads the Global Methane
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infrastructure. Although scientists have studied how rainfall and sediment supply affect debris flows, we still know little about how sediment availability changes across space and time, and how this controls how
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currently possible to predict whether an aneurysm will rupture and there are no drugs available to treat a ruptured aneurysm. Yeung’s research focuses on finding biomarkers (quantifiable indicators) in
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sources, and that the operations must be less predictable in their chosen transport means and locations. Thus, the goal is to explore reduced predictability while sustaining the units to be supplied
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students on the topic of understanding and predicting the dynamics of complex engineering systems in order to develop advanced control, estimation, planning, learning and diagnostics strategies which
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: Identification of EEG and fMRI biomarkers with potential predictive value for psychedelics’ antidepressant effects (National Institute of Mental Health (NIMH), Czechia) DC4: Mapping the subjective phenomenology