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Field
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emphasis of the role is on population-level data analysis, interpretation, and scientific insight generation using large-scale real-world data. The successful candidate will work closely with
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experience and expertise in web-scale data curation, development of large language models (LLMs), and in-depth LLM evaluation. LTG has a strong commitment to open-source resource and software development
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factors for Alzheimer’s disease and related dementias by integrating large-scale human genetic data with phenotypic, environmental, lifestyle, and registry-based information. The postdoctoral fellow will
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interventions work best for whom, and how support systems can become more equitable and inclusive. This PhD position has an education and society-oriented focus. The PhD Fellow will work with large-scale register
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climate modeling. The focus areas will be on methodology improvements with respect to quality and reliability, and with respect to computational feasibility for large-scale problems, and the emphasis can to
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, reflection seismic data, and boreholes, hence, incorporating different scales of studies from microscopic studies of outcrop samples to large scale faults on seismic data. The project is part of
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samples. Optimize reconstruction algorithms for efficient large-scale 3D imaging, including high-performance and GPU-accelerated computing where appropriate. Design, optimize, and validate a refractive
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equitable and inclusive. This PhD position has an education and society-oriented focus. The PhD Fellow will work with large-scale register and cohort data to investigate how social structures interact with
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of thick and strongly scattering samples. Optimize reconstruction algorithms for efficient large-scale 3D imaging, including high-performance and GPU-accelerated computing where appropriate. Design, optimize
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an advantage Experience in analysis of big data sets from meteorology, climate, or medical registries is an advantage Experience in mid-latitude weather and climate dynamics is an advantage Experience