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- 
                Field
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                for their employability in applications. Additionally, machine learning methods need to be applicable to high-dimensional and to noisy data that are typically encountered in real-world applications. The aim of this project 
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                in Discontinuous Galerkin Finite Element Methods and the Julia programming language will admitted to the selection. Workplan and the objectives to achieve: This scholarship aims to advance a time 
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                remaining functional under harsh geothermal conditions. The candidate is expected to work closely with D-TECH and may undertake a secondment period to test and apply the developed methods on industrial-scale 
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                knowledge of numerical methods - knowledge of free-surface flows, granular flows - proven experience in numerical simulation (finite elements, finite volumes, CFD, LES, etc.) - proficiency in basic scientific 
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                accuracy requires high spatial and temporal resolution, which is time-prohibitive and therefore impractical for large parts. This project therefore aims to develop numerical methods that enable the efficient 
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                challenges facing modern societies. Specifically, the tasks are: Identify state‑of‑the‑art machine‑learning (ML) methods that can be applied to geochemical systems in geological contexts Assess these methods 
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                to the proposed control methods in respect of heat transfer and drag. *Keywords : flow control, heat transfer, wall-bounded flow, thermal boundary layer, numerical simulations, reduced order model, machine learning 
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                not exclusively deploy qualitative IS methods, with specific focus on case study research, taxonomy-building and design science research, as well as to conduct interviews with relevant stakeholders 
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                Earthquake Engineering and examines the dynamic and liquefaction behavior of Icelandic basalt sand, using laboratory test methods and advanced numerical techniques. The project is funded for three years by 
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                . Experience with isotopic box modeling, numerical simulations, and statistical analysis. Demonstration of effective communication of scientific and technical results (e.g., peer-reviewed publications