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mathematics, ecology, history, climatic and medical sciences in collaboration across multiple institutes. An integral part of the project is to develop process-based eco-epidemiological models considering
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topological optimization of light guidance in HCFs, and numerical simulation of thermo- and fluid dynamics under fiber-drawing processes. Apart from the main tasks above, the postdoc can be involved in
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areas is considered a merit: - Multi-modal data processing for decision-making in natural environments - Terrain classification and multi-layered environment mapping - Digital twin generation for natural
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Worldwide R&D Projects. Previous experience in one or preferably more topics from these areas is considered a merit: - Multi-modal data processing for decision-making in natural environments - Terrain
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to the engineering process, ensuring it is current and usable for informed decision-making in circular economy contexts. The research group studies how technology impacts organizations using mixed methods—both
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. Within the division, the Kádár Group conducts research in the broader field of rheology and processing of soft matter. Our ongoing projects center around three main areas: Field–matter interactions
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combine large-scale data, computational methods, and clearly articulated social-science theories to improve our understanding of society. Recent advances in machine learning, natural language processing
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education to enable regions to expand quickly and sustainably. In fact, the future is made here. Project description The postdoctoral fellow will explore synaptic processes and white matter pathways between
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sequencing and synthesis to design useful cell behaviors. The scope of this project is to combine multi-gene control technology and computer algorithms to develop a foundational discovery platform for future
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their own research agenda within some of the department’s core themes: Digital transformation and innovation strategy – how organizations adapt their innovation processes and strategic priorities in response