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– from the modeling of material behavior to the development of the material to the finished component. PhD Position in Machine Learning and Computer Simulation Reference code: 50145735_2 – 2025/WD 1
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Job Description We invite applications for a fully funded 3-year PhD position in the Embedded Systems Engineering (ESE) research section at DTU Compute in collaboration with the Technical
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and Master’s students in Informatics and Data Science. Supervise Bachelor’s and Master’s theses. We Offer Practice-oriented research projects with leading academic and industry partners (like Google
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: this provides capability for accurate and fast modelling of urban drainage, handling the full complexity of flow paths on impermeable surfaces, green space, buildings, pipe networks and BGI features
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cross-layer defenses that ensure secure and efficient AI model development at scale. Information about the division The department of Computer Science and Engineering is strongly international, with
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. This project will focus directly on the evolution of common ground. We will explore the implied cognitive complexity of great ape communication to identify evolutionary trends and simulate dynamics that might
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to theorizing about the evolution of common ground, one of the central research topics of the Collaborative Research Center in which this project is embedded. We will explore the implied cognitive complexity
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and synthesis of complex metastructures for bone replacement. Your tasks In this interdisciplinary project at the interface of materials science, nanofabrication, and biomedical engineering you will
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worldwide. While genetic mutations (e.g., in PKD1, PKD2, and PKHD1) are known to underlie these conditions, the complex molecular pathways that govern cyst initiation, growth, and progression remain poorly
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This is an exciting opportunity to explore the role of complex microbial communities in promoting resilience and maximising yields in large scale algal bioreactors exposed to different environmental