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data. Perform numerical simulations of subsurface hydrogen storage including chemical reactions for an ensemble of geological models that were developed in the Rapid Reservoir Modelling software. Develop
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position, you will lead the development of a probabilistic, error-aware surrogate model capable of delivering fast, uncertainty-quantified predictions for complex multiscale–multiphysics processes in OFPV
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is to determine how memory mechanisms can be generalised across linguistic domains, from the lexicon through syntax to discourse semantics, and how plausible memory models can predict diverse
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Sciences and Biotechnology Institute (GBB) of the University of Groningen (The Netherlands), to investigate RNA structural ensemble dynamics in living cells. What The successful applicant will work on a
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, in order to predict important cell parameters to determine the viability of cell lines. You will deal with curating large amounts of data obtained from novel cell lines by the Flack group, and
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) multi-omics analysis for the identification of therapeutic targets (biomarkers or druggable targets). The candidate will also develop and implement AI-driven tools to predict disease prognosis and
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Is the Job related to staff position within a Research Infrastructure? No Offer Description Do you want to contribute to understanding and predicting how extreme weather events will affect soil carbon
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will image them using a variety of microscopy methods, and collaborate with a team of computer vision scientists to build ML-based models for phenotype prediction, helping to accelerate the cell
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for phenotype prediction, helping to accelerate the cell engineering cycle. Within the scope of cell engineering for cultivated meat, there will be freedom to select and suggest your own research projects, and to
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corrosion and embrittlement in reactor environments, remains incomplete, and key mechanical properties are scarce. Without reliable experimental data, our ability to develop predictive models