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of virtual and physical computer systems (Windows, Linux) Support of internal network and automation systems including end devices, as well as user rights management Provision of IT support services (e.g
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and machine learning / artificial intelligence methods in combination with complex network analysis tools to predict and model interactions between food and biological systems further scientific
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The Pagel group at the Institute of Chemistry and Biochemistry of the Freie Universität Berlin is a dynamic, motivated, interdisciplinary and internationally strongly networked research group and is
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, Heidelberg and Mannheim, our researchers harness interdisciplinary collaboration to decipher the complexities of disease at the systems level – from molecules and cells to organs and the entire organism
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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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complex device preparation (e.g., de-lidding or thinning), the capability to irradiate whole systems at once, as well as improvements to the efficiency of space relevant radiobiological experiments. GSI
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machine learning/artificial intelligence methods in combination with complex network analysis tools to predict and model interactions between food and biological systems Further scientific development
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(100 % E15 TV-L). The central task of PRIDAS is developing and providing data science services, processing and analysis methods, and modern management of highly complex multimodal data. In research with
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the development of an autonomous outdoor navigation solution as well as the hardware of the robots. Natural outdoor environments like farms and forests are filled with highly complex geometrical forms and
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physical oceanography. With a focus on the open ocean, the professorship aims to develop a profound understanding of the complex physical processes in the oceans and their impact on the marine environment