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workflow for the imaging of Mg-LPSO alloys via X-ray nanotomography followed by higher resolution imaging of the identified regions of interest using transmission electron microscopy and atom probe
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Description The Institute of Radio Frequency Engineering and Electronics conducts research in the field of integrated circuit design in state-of-the-art CMOS and SiGe BiCMOS technologies for various
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are using ferroelectric memories, which can calculate AI algorithms from the field of deep learning in resistive crossbar structures with extremely low power consumption and high speed. Furthermore, we
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are using ferroelectric memories, which can calculate AI algorithms from the field of deep learning in resistive crossbar structures with extremely low power consumption and high speed. Furthermore, we
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are using ferroelectric memories, which can calculate AI algorithms from the field of deep learning in resistive crossbar structures with extremely low power consumption and high speed. Furthermore, we
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initiative, creativity, ability to work effectively in a team, as well as fluency of written and spoken English. What we offer: employment in accordance with the collective agreement for the public service
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, Computational Biophysics, or a closely related field Strong programming skills (e.g., Python, C/C++) Knowledge of machine learning frameworks (e.g., PyTorch, TensorFlow) Very good English language skills, ability
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are using ferroelectric memories, which can calculate AI algorithms from the field of deep learning in resistive crossbar structures with extremely low power consumption and high speed. Furthermore, we
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skills, ability to communicate ideas and results effectively Independent and solution-oriented work ethic Interdisciplinary mindset and enthusiasm for teamwork Ability to work in a multi-cultural, multi
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for Electrical Drives, Power Electronics and Devices Institute of Automation Institute for Microsensors, -Actuators and -Systems Institute of Electrodynamics and Microelectronics Institute for Telecommunications