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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
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that are appealing for many applications in electronics, optoelectronics, quantum technology, photonics, energy are in high demand for future device technologies. Functional materials containing main group metals
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, flexibility, good self-organization and team working abilities Ability to analyse and critically reflect scientific data Determination, creativity, profound knowledge and resilience to successfully complete
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are complex superstructures composed of different nanoparticles, similar to how atoms are linked to molecules. This results in innovative, exceptionally promising optical and electronic properties that go far
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students are supervised by a supervisory panel consisting of a panel chair, a professor from the natural sciences and a professor from information/computer/mathematical science. The DASHH graduate curriculum