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system combining piezoelectricity and relatively high mobility electron gas: AlGaN/GaN. This will enable several functionalities, the first one being the ability to modulate the 2DEG electronic density
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Materials Spectroscopy (SMS) Laboratory, http://spectroscopy.kaust.edu.sa Institution: Division of Physical Science & Engineering, King Abdullah University of Science and Technology (KAUST) Thuwal, Saudi
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benefits from the collaboration with several universities and research centres worldwide, most often with the closer universities of Genova and Verona. AIGO is part of ELLIS (https://ellis.eu
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together 8 leading academic bodies (France 2030), the VERTIGO project aims to develop a new generation of power components based on a GaN semiconductor, with unique functionalities and performance. Advanced
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inverter topologies (e.g. Dual inverter, 4 bridge inverter) with modern semiconductor devices (GaN, SiC) The aim is to implement own designed algorithms in a signal processor and simulation environment
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into the physical mechanisms involved in the reliability of GaN chips, in order to assess their criticality and thereby better define and understand safe operating domains that ensure the required reliability
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Gorlitz, Sachsen | Germany | 10 days ago
generative AI models (e.g., VAEs, GANs, Diffusion Models) to create novel protein sequences, fold structures, and functional molecules # Engage with our international collaborators (Berlin, Dresden, London
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Center for Advanced Systems Understanding, Helmholtz Center Dresden-Rossendorf | Germany | 12 days ago
for de Novo Protein Design. Your tasks Design of generative AI models (e.g., VAEs, GANs, Diffusion Models) to create novel protein sequences, fold structures, and functional molecules Engage with our
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Semiconductor and Material Spectroscopy group investigate the wide band gap semiconductor based on GaN and related materials for optoelectronic applications. Our group set collaborations with different
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 10 days ago
, diffusion, GAN) Good understanding of the mathematical foundations of machine learning Mastering python and related AI software technologies Proficiency in English Experience in parallel training of large DL