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and control of variables that influence the coating outcome. This data not only aids in optimizing production processes but also plays a crucial role in compliance with industry standards and
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videos. Lifetime Persistent Name yt-player-bandwidth Use Is used to determine the optimal video quality based on the visitor's device and network settings. Lifetime Persistent Name yt-remote-connected
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. To this avail you will: Define an information model for contingencies, for example, based on ENTSO-E's network code profiles Design a suitable software architecture Research, implement, optimize and document
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on the recently published DeepRVAT framework, which leverages advances in machine learning to learn an optimal rare variant aggregation function in a data-driven manner. You will have the opportunity to spend
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the integration of both Convolutional Neural Networks (CNNs) and Spiking Neural Networks (SNNs). This position will involve training and optimizing these neural networks using Python frameworks, including CUDA
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system analysis or comparable Initial experience in optimization or statistics is an advantage Initial experience of an object-oriented programming language (e.g. Python, Matlab) and MS Office Analytical
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profile to the existing research areas at the institute in order to optimally complement the existing competencies. Cooperation and networking within the faculty especially with the institute of pharmacy
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electrolyte and electrodes and their influence on the overall performance and safety of sodium-based batteries and their chemistry You cooperate with partners from theory to optimize charge transport
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optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. Become a part of our team and join us on our journey of research and innovation! What
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engineering with TensorFlow or similar frameworks Ability to develop Spiking Neural Networks from scratch, including training and quantization Optimize and benchmark applications and models for neuromorphic