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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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of various carbonisates Carrying out tests on existing pyrolysis plants including optimization of the process parameters Analyzing the resulting products in the laboratory using various analysis techniques
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and design. One of the main focuses of applied research at Fraunhofer UMSICHT is the development and optimization of energy materials (such as compound-based bipolar plates) as well as cell and stack
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At the Fraunhofer IPT in Aachen, we work with more than 530 employees every day to make the production of the future more digital, more flexible and more sustainable. In the department »Production metrology« , we deal with the development of advanced measurement systems for diverse applications...
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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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Department of Applied Mathematics Teaching Fellow in Engineering and Computational Mathematics / Applied Statistics and Financial Mathematics / Applied Optimization and Operations Research / Data
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with OSL: Use OSL to implement the PPTBF algorithm in 3D environments: like a couple of point process, feature function and window function. Optimize Procedural Algorithms: Develop more efficient methods
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Your Job: The adsorption process of a Direct Air Capture (DAC) plant is typically operated cyclically, which complicates energy supply and downstream process steps. Through a thought-out configuration or rotation of the adsorption columns, this cyclical process can be transformed into a...
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techniques. Developed models will be used to optimize processing and conventional alloy compositions for additive manufacturing. T. Keller, G. Lindwall, S. Ghosh, L. Ma, B.M. Lane, F. Zhang, U.R. Kattner
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Your Job: The focus of this Master Thesis is the development of an optimization to minimize energy consumption in an existing model of non-road mobile machinery (NRMM). Optimization opportunities