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Field
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, the scattering geometry can be reconstructed mathematically (this is called inverse scattering). This requires both sophisticated mathematical models and efficiently implemented algorithms. In the case of wafer
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work hands-on with clinical data and build robust deep learning algorithms. We welcome applications from individuals with experience in: Experience developing deep learning models for real-time image
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data to design robust, efficient deep learning algorithms that maximize the information extracted from images and delivered to the robot. To be successful in this role, we are looking for candidates
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cells; Electrical Power management and conditioning systems; Nuclear power system engineering; Power distribution and protection techniques & technologies; Electrical harness design and engineering; EMC
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service quality. To address these challenges, advanced methodologies and algorithms are needed to design effective revenue and inventory management strategies for complex stochastic systems. The growing
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reference architecture for data visiting. This paradigm enables algorithms to securely access and process data within the environments where it resides, supporting federated learning for training machine
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scalloping; propose strategies or algorithmic improvements for future SAR systems to minimize scalloping effects, ensuring reliable and high-quality interferometric measurements. Behavioural competencies
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, computer science, mechatronics, AI, or a related engineering field; Programming experience in current programming frameworks such as Python and C++; Understanding of control principles, algorithms, and 3D
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: The use of data science and AI methods and techniques within the security and cyber domain, with special focus on ethics and algorithmic transparency; Human-Technology Interaction: Developing robots
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of this project is to develop techniques that will enable gate-based quantum optimization algorithms to tackle realistic (large-scale, mixed-integer, and constrained) instances of stochastic programming problems