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Field
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Your Job: Develop AI pipelines that translate -omic signatures into dynamic model parameters Implement reinforcement-learning agents that optimise model performance Collaborate closely with
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observations of the solar atmosphere, in-situ measurements from heliospheric probes, in synergy with a complete numerical modeling of the generation and propagation of solar jets from the solar atmosphere
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of rural communities toward resilient, inclusive and climate-smart business models. The focus of this PhD will be on modelling and assessing the sustainability and macroeconomic implications
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of rural communities toward resilient, inclusive and climate-smart business models. The focus of this PhD will be on modelling and assessing the sustainability and macroeconomic implications
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vehicles, data centers, etc.). These devices are mostly power electronic interfaced introducing new types of dynamic phenomena and the need for more detailed models, increasing complexity. In addition
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modeling of complex information systems, and SDU and the Royal Danish Defence College’s established intelligence studies and practice. By introducing computational modeling to traditional intelligence
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Multiple PhD Scholarships available - Cutting-edge research at the frontiers of Whole Cell Modelling
with gene expression and cell surface remodelling. Systems Biology of Bacterial Defence – Integrating Multi-Omics to Model Microbial Survival: Outside of optimal laboratory conditions, bacterial cells
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the resilience of offshore marine infrastructures exposed to harsh and extreme environmental conditions. Through this PhD scholarship, you will contribute to the development of a physics-informed and data-driven
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on damage modelling. Calculation of linear and nonlinear response of offshore structures exposed to various loading scenarios including operational and extreme environmental conditions Development of accurate
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Josip Juraj Strossmayer University in Osijek School of Applied Mathematics and Informatics | Croatia | about 6 hours ago
field of mathematics, for work on the project Croatian Science Foundation „Scaling in stochastic models“ (Project ID: DOK-2025-02-9144), according to the tender Croatian Science Foundation „Razvoj