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Functional Theory (DFT), machine-learned force fields (MLFF), graph neural networks (GNNs), or large language models (LLMs). Extensive Knowledge In: • First-principles atomistic simulations with packages
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of transcriptomics of pancreatic cancer cells, under the leadership of the project manager. The analysis includes cell culture, gene expression analysis, histology and working with animal models. The work duties also
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Your Job: We are looking for a PhD student to develop learning-based surrogate models for predicting stress fields in patient-specific arteries. Especially high stresses in plaque can lead to
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maps. Knowledge graphs can be used to model these transformations and to link geodata sources to questions. In this project we will apply symbolic and sub-symbolic AI methods to scale this up across
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Your Job: We are looking for a PhD student to contribute to the development of fast, accurate, and physics-informed machine learning models for predicting blood flow in patient-specific vascular
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, Model-X methods require exact knowledge of conditional distributions, and permutation tests fail in high dimensions. Kernel methods offer a more flexible alternative via the partial covariance operator
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models, and mouse models of cancer biology and immunotherapy, while continuing to develop novel technologies. Our ultimate goal is to improve the lives of cancer patients through innovation. The successful
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description UiB - Knowledge that shapes society UiB shall be among Europe's
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understanding of the underlying physical mechanisms and to leverage this knowledge to develop predictive tools for optimizing the design and control of wind farms. Research scope and responsibilities Depending
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to the Bachelor's Degree in Philosophy, Politics, Law and Economics (PPLE), fully taught in English. The Faculty operates as a College model that integrates more than 8 undergraduate degree programs through a shared