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methods on large-scale microdata sets, in particular the comprehensive Danish micro-data, but other sources like lab and field experiments or other types of primary data like own surveys and secondary data
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The International Institute of Molecular Mechanisms and Machines Polish Academy of Sciences | Poland | 19 days ago
1 Sep 2026 Job Information Organisation/Company The International Institute of Molecular Mechanisms and Machines Polish Academy of Sciences Research Field Biological sciences » Biology Researcher
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PhD thesis student (f/m) at ESRF and University of Bath to study CO₂ capture by coupling X-ray Raman
, these experiences will provide a unique combination of experimental and computational expertise, equipping you for careers in academia, large-scale research facilities, and industry. Further information may be
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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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Additional Information Website for additional job details https://www.academictransfer.com/363542/ Work Location(s) Number of offers available1Company/InstituteUvACountryNetherlandsCityAmsterdamPostal
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16 Aug 2026 Job Information Organisation/Company Amsterdam UMC Research Field Engineering » Biomedical engineering Researcher Profile First Stage Researcher (R1) Application Deadline 30 Aug 2026
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Academic Staff at [email protected] . Where to apply Website https://lfuonline.uibk.ac.at/public/karriereportal.details?asg_id_in=15893 Requirements Additional Information Benefits
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on developing probabilistic latent-variable methods for large and structured biological data, with applications in genomics, spatial transcriptomics, and fluorescence imaging. High-dimensional and structured
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into technological and economic value. The project combines large-scale longitudinal data on PhD recipients with complementary sources such as publication and patent data, and aims to enrich these with other sources
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using large administrative datasets Preparing analytic datasets and documenting data management procedures Developing statistical code and producing tables, figures, and technical appendices Contributing