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industrial objects. Depending on the object characteristics and quality requirements, different capture systems are applied. Calibration of 3D scanning technologies is the critical first step for the accurate
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Future. Discover. Together. The introduction of AI applications places high demands on optical connections in data centers. In addition to the approach of fewer parallel channels with very high data
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that captures relevant features at different length scales and integrates them into a single reconstruction volume. This PhD project focuses on learning-based phase retrieval in the weak holographic regime
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. Therefore, we need an imaging scheme that captures relevant features at different length scales and integrates them into a single reconstruction volume. This PhD project focuses on learning-based phase
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standards for the use (and development of policy around) AI in disaster management. In parallel, Fraunhofer HHI is contributing to the Working Group on Digital Transformation for Hydrology and Water Resources
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with a focus on efficiency and the prioritization of parallel projects. What we offer Fascinating challenges in a scientific and entrepreneurial setting Attractive salary package according to TvöD with
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to enable quantitative, high-resolution, time-lapse monitoring of soil properties and will be implemented using high-performance parallel computing. This PhD position offers the opportunity to work at the
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the case of challenging environmental conditions, the method of multi-scale parallel single-pixel imaging has the potential to enable breakthrough advances. The “image processing and AI” group contributes
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of memory, senescent, and exhausted T-cells with age. The PhD candidates will work on: - Identifying key metabolic pathways involved in T-cell aging using advanced genetic models that allow for parallel
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systems based on massively parallel hardware architectures Combination of programmable logic, tensor processors and general-purpose CPUs for real-time adaption and scheduling services (e.g., AMD Versal