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. Ongoing projects leverage large-scale multimodal clinical data, including electronic health records (EHRs), medical imaging, genomics, wearable devices, and unstructured clinical text, to develop novel
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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 13 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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. 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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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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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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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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, 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