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. Key Responsibilities: Design, adapt, and apply statistical, computational, or AI-based methods for metabolomics and multi-omics data analysis. Analyse large-scale metabolomics, proteomics
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, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn't imagine the future, we invent it. If you're passionate about joining a community that challenges the
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-on experience with fMRI data collection and/or analysis (e.g., preprocessing, MVPA, encoding models) Experience with computational modeling or machine learning approaches Familiarity with handling large datasets
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numerical simulations of complex dynamic systems, e.g. turbulence, hurricane. The duty of the role is within the range of: 1) developing novel algorithms on data analyses and data mining, e.g. Large Models
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30 Mar 2026 Job Information Organisation/Company Institute of Mathematics of the Polish Academy of Sciences Research Field Mathematics Researcher Profile First Stage Researcher (R1) Positions
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classification. • Perform image preprocessing, annotation, and quantitative feature extraction using clinical datasets. • Manage and organize large-scale imaging datasets with attention to data quality, de
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9 Apr 2026 Job Information Organisation/Company Universität Bern Research Field Medical sciences Environmental science Researcher Profile Established Researcher (R3) Application Deadline 10 May 2026
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), urinary tract infections (UTIs), and genitourinary syndrome of menopause (GSM). We leverage large, deeply characterized longitudinal cohorts and biorepositories, integrating metagenomics, transcriptomics
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fuzzing-based approaches; (c) assist in the development of prototype systems for vulnerability detection and exploit generation; (d) explore the use of Large Language Models (LLMs) and agent-based
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for analysis of health record data for patient diagnosis and outcome prediction. Perform large-scale querying and analysis of clinical health record databases. Engage with clinical collaborators, to place the