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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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journals is desired Ability to work reliably and collaboratively in a scientific research setting Strong command of spoken and written English; German language skills are a plus. We offer Involvement in a
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very good written and spoken English skills self-motivated, independent and responsible working style and high organizational skills ability to work in a team and willingness to integrate
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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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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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, 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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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