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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 2 months ago
to the weather prediction and climate projections. This is mainly due to our lack of understanding of cloud/snow ice microphysics and over-simplified representation in models. On a broader sense, although weather
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research problems. They will specifically apply advanced methods for data analysis and modeling, such as community detection and link prediction. Beyond direct research, the incumbent will assist in
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efficiency and lifetime predictions under realistic operating conditions. Validating the developed models using experimental data from drivetrain test benches equipped with load, temperature, vibration, and
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, please visit: https://qbm.genzentrum.lmu.de/application/ Tuition fees per semester in EUR None Combined Master's degree / PhD programme No Joint degree / double degree programme No Description/content
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to the analysis of multi-omic data, models for predicting phenotypes using genotype data, biological data integration, etc. Participation in these projects will include scientific programming, data analysis
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-Preserving Federated Learning: Establishing secure, decentralised architectures for training predictive models on sensitive medical and industrial datasets without compromising data integrity. Propelled by
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into European energy system models based on the institute's own open-source FINE framework https://github.com/FZJ-IEK3-VSA/FINE . Your tasks in detail: Implementing geothermal plants with material co-production
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and validate them across multiple cancer cohorts Link CIN programs to outcomes and therapy response using large public datasets and modern predictive modeling Integrate CIN signatures with functional
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applications of neural networks to the analysis of multi-omic data, models for predicting phenotypes using genotype data, biological data integration, etc.. Participation in these projects will include
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of models like CNN, RNN, Transformers with some work in classical machine learning with XGBDTs is expected. Relevant work can lead to co-author publications and contributions to grant proposals. Tentative