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to shaping the future. Would you like to gain experience in a modern and professional team and see first-hand how research and development in the field of process optimization using probabilistic AI works
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using a numerical simulation model in Modelica/Dymola. We are optimizing the processes according to the given requirements. The aim is to develop a parametrizable universal model based on various created
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the real grid is often not available or confidential. Therefore, your main tasks are: Conducting research on Grid Code Compliance and parameter optimization Developing software tools for automated Grid Code
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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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profile requirements due to a disability. The Fraunhofer-Gesellschaft plays a central role in the innovation process by focussing on key technologies relevant to the future and on the exploitation
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accelerators. We are looking for a dedicated digital designer to work on the development and optimization of mixed-signal FeFET-based accelerator systems. The candidate will be responsible for developing digital
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topics in semiconductor technology and power electronics. The mission of the department »Modellierung und künstliche Intelligenz« is to optimize processes, components and systems, including
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Production Machinery «, we specialize in meticulous optimization of technologies involved in the manufacturing of components for energy storage and energy conversion systems. With a keen focus on industrial
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« department, we deal with technologies, processes and methods for optimizing production processes as well as quality assurance in manufacturing. In the »AGILEHAND« research project funded by the European Union
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Research in the fields of channel coding, Internet of Things (IoT), and low latency communication Development of new transmission schemes, protocols and cross-layer optimizations and support contributions