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Field
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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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Environmental Physics 2. Solid State Physics Electron Microscopy Semiconductor Epitaxy Semiconductor Optics Surface Physics 3. Theoretical Physics Complex Systems Solid-State Theory Semiconductor Physics
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Campus, Halle, co-located with the Martin Luther University Work in a highly international, supportive, and diverse research atmosphere Access to cutting-edge facilities in biotechnology, structural
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an excellent research environment but are also trained in a well-balanced and structured manner. While the main focus of the PhD training is on the graduate student research work, KSOP is convinced
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, pharmacovigilance, and Good Clinical Practice (GCP). In our basic research infrastructure, we operate several core units that ensure top performance in methodologies such as structural analysis, electron and
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below 30 mK and allow the application of magnetic fields to the sample. We characterize the magnetic properties of the quantum systems using standard spectroscopic detection schemes and electron spin
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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
-
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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biotechnology, structural biology, proteomics, metabolomics, and more Our benefits: Excellent working conditions in an international environment Flexible and family-friendly working hours and possibility of home