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of ion conductivity in complex battery materials on a large scale. Model‑generated data will be used to identify key relationships between material structure and ionic conductivity through advanced data
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ontologies, and domain-specific language models, among many other methods and models. You will engage with large-scale longitudinal health data, develop and validate computational models, and contribute
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, longitudinal patient and population registries and biobanks. Project description Large language models (LLMs) enable the extraction of clinical information from unstructured medical text. However, current LLM
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of habitat diversity in agricultural environments as a proxy for potential biodiversity. You will plan and conduct field measurements and perform data analysis in a large interdisciplinary project group
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9 Apr 2026 Job Information Organisation/Company Uppsala universitet Department Uppsala University, Department of Chemistry - Ångström Laboratory Research Field Chemistry Researcher Profile First
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measurements, including raw data processing and postprocessing. The data will contribute to one or two scientific articles. Work duties Research within the subject area Contributing to publishing results in high
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precision medicine based on gene sequencing time series data. Large data sets come with significant computational challenges. Tremendous algorithmic progress has been made in machine learning and related
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3 Apr 2026 Job Information Organisation/Company Linköping University Research Field Chemistry » Inorganic chemistry Researcher Profile First Stage Researcher (R1) Application Deadline 30 Apr 2026
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values rest on credibility, trust and security. By having the courage to think freely and innovate, our actions together, large and small, contribute to a better world. We look forward to receiving your
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also include preparation of food samples, extraction and analysis of target and non-target compounds, processing of large HRMS datasets, data analysis, statistical evaluation, collaboration with