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including causal inference and prognostic/risk prediction modelling. It will be essential to have evidence of strong data management skills and experience managing large linked administrative datasets using
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using a stable light-isotope-ratio mass spectrometer (IRMS), and model experimental data. Responsibilities also include preparing manuscripts based on research findings and performing routine maintenance
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Max Planck Institute for Gravitational Physics, Potsdam-Golm | Potsdam, Brandenburg | Germany | about 3 hours ago
relativity, to the analysis and interpretation of data from LIGO, Virgo and KAGRA today, and from Einstein Telescope, Cosmic Explorer and LISA in the decade ahead. We invite applications for several
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, biomonitoring, and toxicity data. Key responsibilities: Lead UCAM's contribution to Task 5.2, including modelling of respiratory deposition of indoor particulate matter and estimation of exposure to aerosol-bound
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 9 hours ago
Posting Information Posting Details Department Physics and Astronomy - 319000 Posting Open Date 09/25/2026 Application Deadline 03/23/2027 Open Until Filled No Position Type Postdoctoral Scholar
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. The role includes implementing developed techniques and algorithms in high-quality software that adheres to group standards and evaluating them on large-scale benchmarks. You will take an active role in
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protocols, and test hypotheses and analyse scientific data. You will be expected to contribute ideas for new research projects, develop ideas for generating research income, present detailed research
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Systems and Software Program (WASP ). You can find more information about us on the Department of Information Technology website. The position is hosted by the Division of Scientific Computing (TDB), one
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aims to use improved access to digital heritage to tutor the Digital Citizen in the use of big data. It brings together AI researchers and Digital Humanities scholars to seek solutions to the problem
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conducts theoretical, methodological and applied research, with emphasis on statistical methodology for large-scale and register-based data and on applications of societal relevance. The successful candidate