40 buidling-information-modelling Fellowship positions at UiT The Arctic University of Norway
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-house laboratory and modelling capacity. The project/position's field of research The Southern Ocean is an essential component of Earth´s carbon cycle, absorbing around 40% of the world ocean´s
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to best utilize this increased diversity of information. Heterogeneous data can provide complementary information which can be used to improve the prediction accuracy and robustness of deep learning models
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2 May 2024 Job Information Organisation/Company UiT The Arctic University of Norway Department Department of Computer Science Research Field Computer science Technology Information
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Stig Brøndbo 28th May 2024 Languages English English English Faculty of Science and Technology PhD Fellow in Computer Science Apply for this job See advertisement The position An exciting PhD
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, trustworthy, and ethical. Unlike the current focus on data-centric approaches in machine learning, Integreat develops theories, methods, models, and algorithms that integrate general and domain-specific
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focus on data-centric approaches in machine learning, Integreat develops theories, methods, models, and algorithms that integrate general and domain-specific knowledge with data, laying the foundations
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models are designed to work with unimodal data, such as images, text, or audio. However, in many applications the available data is often heterogeneous and consist of several different modalities
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architectures, training strategies, etc,…) for processing spatio-temporal data, e.g., multiple time series whose relationships are described by a graph. Enhance the capabilities of existing deep-learning models
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,…) for processing spatio-temporal data, e.g., multiple time series whose relationships are described by a graph. Enhance the capabilities of existing deep-learning models by gaining theoretical and practical insights
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to improve the scalability of large spatiotemporal models without compromising their performance. Multi-scale representations with graph coarsening The objective is to create multi-scale representations with