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Field
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electrical, electronics, telecommunications, photonics, microwaves engineering, physics or similar Knowledge of simulation tools for communication systems, digital signal processing; experience in MATLAB
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the simulation and optimization of sheet metal forming processes Develop optimization methodologies for manufacturing process design and parameter identification Validation of the FEM and ML models through
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qualifications: Required qualifications are: MSc, PhD or equivalent degree in astronomy, physics, or engineering, and demonstrated experience with the design or construction of astronomical instruments, preferably
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Power grids are naturally represented as graphs, where buses, lines, transformers, generators, and loads interact through physical constraints. Recent developments in graph neural networks, and
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as well as microcontroller programming (ARM Cortex-M7, Arduino-compatible) Topics 1 and 2: Basic knowledge of I2C and SPI buses Topic 3: Knowledge of the Ethernet protocol and the physical layer What
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of machine learning models What you contribute Enrolled Bachelor's/Master's student in full-time studies in the fields of computer science, mathematics, physics, electrical engineering or related courses with
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, energy economics and system design, energy process engineering and storage, network planning and operation, grid stability and converter technology, as well as thermal energy technology. Around 450
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cells. However, during the structuring process, ablation products are generated that spread within the process zone, influence the incident laser beam, and can be redeposited on the workpiece
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focus on developing key technologies that are vital for the future and enabling the commercial utilization of this work by business and industry, Fraunhofer plays a central role in the innovation process
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enabling the commercial utilization of this work by business and industry, Fraunhofer plays a central role in the innovation process. As a pioneer and catalyst for groundbreaking developments and scientific