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our software development team, developing novel scientific algorithms and applications in the areas of spectroscopic analysis and mining of the science data catalogues extracted from the pipelines
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industrial partners and is partly externally funded by the KK Foundation. In co-production with our corporate partners and the community, we develop concepts, principles, methods, algorithms, and tools
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and algorithms for efficient deep-tissue energy transfer. Experimental Validation – Integrating and testing prototypes in realistic laboratory and clinical settings to demonstrate safe and effective
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Up to 48 months contract - 14+22 (+12) | Belvaux Are you passionate about research? So are we! Come and join us The Luxembourg Institute of Science and Technology (LIST) is a Research and Technology
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of structures, facilitating a form-finding process driven by FEM analysis. Training deep learning algorithms to suggest multiple structural concepts tailored to specific boundary conditions. Expanding FEM
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Computer Engineering or related areas; Knowledge of the development of automatic [deep] learning and information visualization applications; Experience in the use of algorithms and data analysis methods
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structure, and of the force and tidal field that has been shaping the cosmic web. The basic detection algorithms to infer the overall structure of the cosmic web are the various versions of the scale-space
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immunology. For a recent list of topics that the Murrell lab works on, please see: https://scholar.google.com/citations?hl=en&user=I80vy5cAAAAJ&sortby=pubdate and https://staff.ki.se/people/benjamin-murrell
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relevant background in algorithms and/or database systems with a research-oriented master’s thesis. Good programming skills. Good written and oral English language skills. Your education must correspond to a
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. The objectives of this project are following: Aerial Damage Detection and Classification: Design computer vision algorithms for aerial drones to detect and classify structural issues such as cracks and erosion