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support the development of a European energy system model by benchmarking future technologies and optimizing their representation within the FINE optimization modelling framework ( https://github.com/FZJ
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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 our scientific team in the multimedia
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optical communication networks and systems as well as the coding of video signals and data processing. Photonics is one of the most exciting and innovative areas of applied research. The Fraunhofer Heinrich
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PostDoc in "Sustaining the keystone: Rethinking Antarctic krill fishery management under climate ...
biological effects, including changes in primary production, community composition, and poleward shifts of species. Species that are endemic to the high southern latitudes and specially adapted to cold
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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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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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. 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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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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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