Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- CNRS
- DAAD
- DIFFER
- Delft University of Technology (TU Delft)
- Forschungszentrum Jülich
- La Trobe University
- Luleå University of Technology
- Luxembourg Institute of Science and Technology
- Nature Careers
- University Medical Centre Groningen (UMCG)
- Warsaw University of Technology - Centre for Credible AI
- 1 more »
- « less
-
Field
-
electronic components are necessary. Thus, new components are developed from gallium nitride (GaN) to manufacture fast switches and rectifiers that can withstand high voltages for reduced component sizes
-
models (CNNs, Transformers, GANs) for PET and CT dose reduction - Work with raw PET/CT data, projection data, and reconstructed images - Perform quantitative image evaluation and clinical validation
-
unsolicited services. Where to apply Website https://www.academictransfer.com/en/jobs/356202/phd-position-gan-based-electric… Requirements Additional Information Website for additional job details https
-
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
-
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
-
MOVPE system during the same epitaxy cycle as GaN-based active devices, h-BN is on the verge of being commercialized on a large scale. Given the complexity of the MOVPE epitaxy environment, there is a
-
presentations, and consortium meetings. Supervise junior student projects where appropriate. Complete and defend a PhD thesis within four years. Where to apply Website https://www.academictransfer.com/en/jobs
-
car simulator facilities. Work in the project comprises human-factors research, artificial intelligence and data analytics. Do you want to know more about LIST? Check our website: https://www.list.lu
-
models (e.g., transformers, GANs) for text, image, or cross-modal data. -Familiarity with self-supervised learning and weakly-supervised learning techniques. -Familiarity with UAV technology or experience
-
Python, PyTorch or TensorFlow) and practical experience with generative models (e.g. LLM, diffusion models, GAN); Ability to conduct independent research and work in a team, including a willingness to