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Max Planck Institute for Gravitational Physics, Potsdam-Golm | Potsdam, Brandenburg | Germany | 1 day 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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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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. 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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for flexibility in the start and end dates, subject to approval by the department and the funding agencies. The successful candidate will join the Machine Learning & Data Science research group and conduct research
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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
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learning from limited data, cross-sensor integration, and scalable reasoning over large-scale time-series data, with applications in disaster response, urban analytics, and environmental monitoring. The team
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materials, participation in offshore research cruises and onshore training workshops, and conducting geoarchaeological fieldwork and data interpretation. This role is a unique opportunity to contribute to all
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, select, and apply standard techniques of routine research. Keep detailed records of data. Use computers and laboratory or technical equipment to perform data analysis, statistical analysis, and technical
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data and develop data-driven methods for predicting land loss and ecosystem transitions in wetland-rich landscapes of the Gulf Coast with a focus on coastal Louisiana. This candidate will directly