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years of relevant professional experience outside of academia in the area of generative algorithms for visual media. You have extensive experience in developing algorithms for AI-assisted media production
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the next era of the quantum revolution. Together, we research, develop, and design innovative quantum algorithms that push the boundaries of what is possible- especially in the natural sciences such as
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“Stability and Solvability in Deep Learning”. This project focuses on mathematically analyzing machine learning algorithms with a particular focus on questions of stability, computability, and robustness
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This project project will develop strategies for programmable DNA origami tiling and opto-mechanical metasurfaces that combine self-assembly with precise optical functionality. The work will explore how DNA
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(rhizotron facility) and field trials. In addition to field applications, novel inversion algorithms for ground-penetrating radar (GPR) and electromagnetic (EM) will be developed. These algorithms will enable
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the necessary algorithms. You will also develop and document a graphical user interface which handles large processing tasks efficiently and uses multiprocessing and GPU acceleration where necessary. At the same
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two distinct images from a single PET acquisition. Within this project, we will jointly develop, adapt and implement advanced image reconstruction algorithms in our in-house reconstruction software
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required. You will work with the P61A team and our user community to identify the scientific analysis requirements and develop the necessary algorithms. You will also develop and document a graphical user
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edge of energy systems and computational engineering, developing scalable methods to simulate and secure IBR-dominated grids. Your key responsibilities include: Conducting large-scale simulations
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tackle the complex challenges of our time. The spin-off SoreAlert (website ) is developing a smart patch that prevents pressure ulcers before they develop. This helps patients, makes everyday work easier