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in the challenges of the energy transition and its economic consequences You have a quick grasp and the ability to analyze and creatively implement complex issues You are proficient in the use
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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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and qualitative modelling approaches for complex social-ecological systems (SES) of tropical coastal zones in Peru, Colombia and Indonesia; Scenario development and Horizon Scanning – to systematically
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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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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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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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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
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efficient algorithms and machine learning/artificial intelligence methods in combination with complex network analysis tools to predict and model interactions between food and biological systems • Further
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strategies individually and in cooperative work Self-assured and determined manner with good communication skills for a convincing presentation, even in complex technical contexts Strong and open communication