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, or geometric deep learning. Experience with optimization methods, numerical modeling, or simulation of complex systems. Experience with 3D modeling, CAD APIs, or computational geometry is an advantage
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with optimization methods, numerical modeling, or simulation of complex systems. Experience with 3D modeling, CAD APIs, or computational geometry is an advantage. Experience and abilities
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or communication systems Understanding principles for RF system architecture, circuit design, signal processing, antenna beamforming, and use of software-defined radios (SDR) Experience with CAD and microwave/EM
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or communication systems Understanding principles for RF system architecture, circuit design, signal processing, antenna beamforming, and use of software-defined radios (SDR) Experience with CAD and microwave/EM
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meet the requirements for admission to the faculty's Doctoral Programme Basic knowledge of CAD/CAM/CAE Good skills in mathematics and programming, in production engineering or product development Very
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image velocimetry, laser-Doppler anemometry, dynamic pressure measurements). Experience with Computer Aided Design (CAD). Personal characteristics To complete a doctoral degree (PhD), it is important that