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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 2 months ago
but not limited to cutting-edge GaN, GaAs, InGaAs, InP, AlN, diamond, etc semiconductor technologies that potentially can be heterogeneously integrated with stable laser systems. The goal is to develop
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 2 months 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
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(CHIMES2 IKC) (https://chimes-ikc.org/) you will apply leading edge Heterogeneous Integration Strategies to solve the PhD challenges. Achieving net zero carbon emissions by 2050 requires electrification
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foundation models for synthetic data generation: Time Series Foundation Models, Variational Autoencoders, Generative Adversarial Networks, and Large Language Models (LLMs, TSFMs, VAEs, GANs). Design
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the development of buffer structures) and AlGaN growth for AlGaN/GaN heterostructures. Exchange and collaboration with a diverse team of scientists from the REC² Cluster, in particular with those from the fields
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relevance and impact of the research Exploration of the use of Federated Learning (FL) and Generative Adversarial Networks (GANs) to improve the training of the models and access to data grants for scientific
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; Preferred research directions include Power Management IC, Power Devices, GaN HEMT, Radiation-Hardened IC, and Reliability Testing. Research experience at a university or equivalent after completion of PhD
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industry is considered a key to success in solving some of the research, development and deployment challenges under various theme areas. Find out more: https://ra-latrobe.iitk.ac.in/ Applications
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in 3D learning. Research topics include: - Neural Rendering: 3DGS, NeRF, etc. - Generative AI: Diffusion, LLMs, GANs, etc. - 3D Reconstruction - SLAM / Pose Tracking (SfM, MVS) - Semantic 3D Scene