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Field
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companies. The research will integrate techniques of numerical analysis and structure-preserving algorithms to generative modeling in AI. It will build upon the work done at IMF and SINTEF in this field. We
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the photonic integrated circuit (PIC) sub-system of TESERACT (Twin Earth SEnsoR Astrophotonic CubeSat), a 6U mission demonstrating chip-scale spectroscopy in space and de-risking astrophotonic
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of underlying 3D scene representations. This requires the designing and developing of specialized computer-generated hologram (CGH) algorithms, modeling the propagation of incoherent light through space
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simultaneously provide reliable wireless connectivity and high-precision sensing. The objective is to develop localisation and sensing algorithms that achieve near-GNSS accuracy while improving robustness, energy
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lead to better-behaved inverse problems. These mathematical insights will subsequently be translated into computational algorithms for inversion, uncertainty quantification and experimental design. The
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novel algorithms, aiming for theoretical guarantees when working with structured and unstructured data. Pursue and complete a PhD thesis within the appointed 4-year duration. Join the Vienna Doctoral
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working with AI/ML experts for optimization algorithm development and associated experts for integration into the experimental workflow. You will work with a team that possesses focused skill sets (subject
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for optimization algorithm development and associated experts for integration into the experimental workflow. You will work with a team that possesses focused skill sets (subject matter expert, AI/ML, robotics and
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. Agricultural robots, drones, IoT sensors, and smart farming platforms are transforming crop production by improving efficiency, reducing labour, and supporting more sustainable practices. However, these
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databases, information retrieval, data mining, or algorithms is expected. Excellent written and oral English language skills are required. The appointment is to be made in accordance with NTNUs guidelines