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on the development of a virtual tissue model bridging cell-cell communication and gene-gene interactions by exploiting spatial transcriptomics data and network-theoretic approaches. Contract start date : May 1st 2026
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system optimisation models. The proposed methodologies will enable a systematic evaluation of system performance, investment trade-offs, and resilience under extreme but plausible drought conditions
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outcomes, while ensuring access to reliable and affordable energy. The EE Lab applies rigorous evaluation and modeling methods, including natural and field experiments, randomized controlled trials
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the PhD. However a plausible approach has also already been outlined. Energy leaving the model via the top or bottom of the model will be stored as output for the analysis of space weather impacts
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, evaluation, and interpretation of AI models on single-cell biological datasets, while keeping downstream translation and valorization potential in clear focus. Key responsibilities Apply and evaluate advanced
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, evaluation, and interpretation of AI models on single-cell biological datasets, while keeping downstream translation and valorization potential in clear focus. Key responsibilities Apply and evaluate advanced
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reanalyses and ensemble seasonal forecasts, combined with data on energy production, distribution, and disruptions. Causal inference methods and stochastic modelling approaches will be employed to move beyond
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Description With cutting-edge research in the fields of ENERGY, HEALTH and MATTER, around 1,500 employees from more than 70 nations at Helmholtz-Zentrum Dresden-Rossendorf (HZDR) are committed
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flexibility orchestration Scalable data and machine learning pipelines Digital twin architectures for cyber-physical energy systems AI-based energy system modeling, simulation, and optimization Secure and
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forums. Experience in CFD modelling of energy systems, combustion processes, or thermochemical conversion of solid fuels is required. Sub research field: CFD Modelling of Thermochemical Conversion of Solid