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multiple imaging modalities—initially concentrating on whole-body and abdominal MRI—using UK Biobank imaging data. About the Role The post is funded for 3 years and is based in the Big Data Institute, Old
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of the project’s digital infrastructure and analysing the Swedish folk high school based on large-scale data. You will have the opportunity to develop and apply data-driven methods, handle large digital archives
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Veterinärmedizinische Universität Wien (University of Veterinary Medicine Vienna) | Austria | 11 days ago
10 Dec 2025 Job Information Organisation/Company Veterinärmedizinische Universität Wien (University of Veterinary Medicine Vienna) Department Human Resources Research Field Medical sciences
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: • Transportation systems modeling and simulation, including O/D modeling, multimodal network modeling, agent-based or behavioral modeling • Large-scale computing, cloud-native analytics workflows, and data
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our multidisciplinary team working at the interface of epidemiology, data science, and public health policy. The successful candidate will develop and apply advanced mathematical and computational
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, herd management, and applied research. Proficiency in data analysis and statistical software (e.g., R, SAS, or similar). Ability to analyze large datasets Location: Department of Animal Science, Texas A
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models. These models will leverage both imaging data and corresponding radiology reports during training to build comprehensive representations that capture the rich, complementary information contained in
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for Future Networks & Communications, Insight - Centre for Data Analytics, Lero - Irish Software Research Centre, CONFIRM - Research Centre for Smart Manufacturing, and it is also hosting two large doctoral
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be developed and implemented in the GEOS-Chem chemical transport model, coupled to the Community Earth System Model. Standardized large wildfire events will be simulated based on historical data and
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leverage the GFDL-MOM6 North West Atlantic model to perform a range of simulations under the shared socioeconomics pathways (SSP) future scenarios. Analyses will involve interpreting and analyzing large data