Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
noise, allowing only specific algorithms with relatively shallow quantum circuits to be executed. In the NISQ era, hybrid algorithms run partially on quantum computers and partially on classical computers
-
Machine Learning algorithms Experience in conducting neuroimaging studies in educational contexts Experience in working with databases. Responsibilities Liaise with stakeholders (E.g. participating schools
-
Responsibilities: Designing and developing scalable algorithms for building Data+AI systems. Writing research papers of high quality based on research results Building deployable Data+AI systems based
-
: Writing, debugging, optimizing and testing of source code with an emphasis on audio applications. Maintenance and improvement of existing audio algorithm code base including noise reduction, acoustic echo
-
Responsibilities: Identify the weakness of existing watermarking and adversarial protection methods Develop new deep learning algorithms or improve existing algorithms to address the weaknesses. Prepare codes and
-
tokamak geometry on turbulent regimes and power-load distribution in double-null configurations Build-up a comprehensive database based on these simulations and analyze data Job Requirements: PhD degree in
-
or a related discipline Strong record of research and relevant publications in reputable peer-reviewed international journals A good track record of supervising research staff, postdocs, students, and
-
, such as data storage, budgets, expenses, assets, and ethics approvals. Key Responsibilities: Design and implement research, including statistical models and algorithms to extract insights from data Develop
-
algorithms Evaluate performance, interoperability, and security implications of replacing classical cryptographic schemes with quantum-safe alternatives Support the development of technical documentation
-
algorithms, and innovative mechanical design to replicate the remarkable flight capabilities observed in nature. The successful candidate will be part of a dynamic, multidisciplinary team of experts in