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) parameters and state variables. Inferring these parameters and/or states from large amounts of possibly high-resolution data leads to computationally intensive inverse problems. The team aims at developing
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Tangorra (Diego Portales University, Chile). For more information on the project, see the link above. Applicants are invited to propose a project that falls within these parameters. The selected candidate is
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relationships between various parameters and to identify the mechanisms by which they operate. This abstraction must be based on empirical validation, but the mining of data alone is neither sufficient nor
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infrastructure. Multi-layer farming not only enhances crop yield per unit area but also enables farmers to more precisely control the growth process by adjusting key climate parameters. To investigate
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aerodynamic models that remain computationally efficient enough for integration into real-time estimation and control loops. This postdoctoral position is part of the ReTwist research initiative, jointly
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in international research visits if needed. We are looking for a highly motivated researcher with: A PhD in machine learning, computer vision, remote sensing, glaciology, climate science, or a related
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/ Deep Learning (particularly Computer Vision or 3D perception) Verification & Validation (V&V) of advanced algorithms, software or systems Formal Methods Safety Engineering / Safety-Critical Systems
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of medieval Latin. Excellent scientific writing skills, with a high production rate. Minimal comfort with computer tools and quantitative methods. No technical expertise is required, but a minimum level of
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4 Oct 2025 Job Information Organisation/Company Ghent University Research Field Computer science » Database management Computer science » Other Engineering » Computer engineering Engineering » Other
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, and brain computer interface tasks. This project will support our goal of testing the Controllosphere Theory of cognitive effort (see doi 10.1037/rev0000467). A Ph.D. and background in computational