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relevant parameters for force modeling Simulate machining forces using an existing modelling framework Create an optimized CAM plan utilizing predicted forces What you bring to the table You are studying
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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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various aspects of QC ranging from quantum chemistry to optimization and machine learning topics. We offer interested students to participate in this cutting-edge research via master thesis projects in
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products and processes. The Competence Center »Energy Management and Control« develops innovative solutions for the economically and technically optimal operation of highly complex energy systems. We develop
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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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Master Thesis on Bayesian Optimization of Multi-stage Processes with Smart Inducing Point Allocation
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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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...