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statistical software & machine learning (e.g., R, Python, SAS, or STATA). Experience working with large population dataset (e.g. EHR, claims data). Background in health informatics, population health research
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-associated virus (AAV)-based gene therapy treatments for inherited retinal disease (IRD). The successful candidate will generate translational research data required to support the preclinical development
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30 Sep 2026 Job Information Organisation/Company Högskolan i Skövde Research Field Computer science Researcher Profile Recognised Researcher (R2) Application Deadline 20 Oct 2026 - 12:00 (UTC
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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 17 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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, or Astrophysics. A well-qualified candidate for this position will also possess: Experience in astronomical data reduction and analysis, astrophysical theory, or astronomical instrumentation. Excellent verbal and
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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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. 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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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
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await you. Experience all that a big city has to offer but with a reasonable cost-of-living and no long commutes. Medical, prescription drug, dental, vision, life and AD&D, flexible spending