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Field
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3 Apr 2026 Job Information Organisation/Company Utrecht University Research Field Computer science » Cybernetics Computer science » Programming Engineering » Computer engineering Engineering
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PhD Scholarship PhD Opportunity in error correction codes for free-space quantum communications. This includes new analysis, design and decoding methods for error correction codes for information
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Your responsibilities: As a University assistant, you will contribute to the work group Machine Learning with Graphs led by Prof. Nils M. Kriege. Our research focuses on the development of new methods
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systems. By combining microclimate modelling, remote sensing data, and data-driven methods, the results are integrated into a Digital Twin framework. The research will support predictive risk assessment and
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with Graphs led by Prof. Nils M. Kriege. Our research focuses on the development of new methods and learning algorithms for structured data. Graphs and networks are ubiquitous in various domains from
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challenges. The final research focus can be adapted to your background and interests, and may be related to some of the following topics: Generative methods for design documentation, including automated
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focus can be adapted to your background and interests, and may be related to some of the following topics: Generative methods for design documentation, including automated creation of tender documents
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 2 months ago
solving complex inverse problems that link measurements to their underlying causes. This PhD interdisciplinary programme focuses on Bayesian methods for estimating physical parameters from high-dimensional
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Software defines a critical part of our society’s digitalization. Within the Software Engineering and Education (SEE) research group, we expand the research front on processes, methods, and tools
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computational challenges. This PhD project will investigate novel registration strategies for ultrasound-derived musculoskeletal point clouds. The work will focus on developing geometry-aware alignment methods