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Field
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Your Job: One essential step towards the ramp-up is the identification of site-specific optimal design of DACS plants, which will be the focus of the advertised PhD. To identify optimal DACS plant
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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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looking for PhD Student (f/m/d) in Data Science for Advanced Optimization of Synchrotron Radiation Beamlines Your Tasks Independent research in the field of surrogate modelling and beamline optimization
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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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control and optimization of electrolysis from the cell to the stack requires automated monitoring, analysis, and control of the operating parameters and processes. As part of this project, the potential
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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