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of organizational activities down to the operational level. Indicators are modeled, measured, and synthesized into simplified visual representations, inspired by the UN's circle-and-arrow system, to assess positive
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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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, 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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on the major challenges of society and share their knowledge. We work for tomorrow. Be part of it! Contact Univ.-Prof.in Lisa Paleczek PhD; Phone: +43 (0)316 380 - 3660 Where to apply Website https
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: Strong proficiency in developing and deploying machine learning models and AI systems in production environments, with deep knowledge of contemporary AI frameworks, tools, and best practices. Software
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on projects at the intersection of neuroscience and biomedical engineering. An initial goal will be to model neurostimulation recruitment-curve relationships by extending Bayesian recruitment curve methods