Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
will contribute to cutting-edge theoretical research in topics including (but not limited to): • Quantum architectures, compilation, and scalable quantum systems • Quantum error correction
-
the control and stability of quantum operations. Using advanced Multiphysics simulation tools, the researcher will create models of the physical and control architecture, enabling the identification of design
-
, inflammasome components, and adaptor proteins such as cGAS , AIM2, and TLRs . Our research integrates cryo-EM, cell biology, and chemical biology to dissect how molecular architecture governs immune function
-
datasets Proficiency in Python for data science and machine learning Possess sufficient breadth or depth of specialist knowledge with deep learning architectures including generative models, particularly
-
architectures, attention mechanisms, and fine tuning techniques for LLMs. Experience with time-series data, anomaly detection, or predictive maintenance is a strong plus. Familiarity with industrial datasets and
-
reliable, safe, and secure software systems, carrying out both upstream activities such as requirements quality assurance and architecture analysis, as well as downstream verification & validation activities
-
University of British Columbia | Northern British Columbia Fort Nelson, British Columbia | Canada | about 5 hours ago
Contribute to nanofabrication of microwave-optical conversion devices following a recently published device architecture [1,2] using successful superconducting [3] and photonic [4] resonator processes already
-
Your job Are you a biologist interested in architecture, design, and engineering? Or an engineer or designer interested in biology? Would you like to contribute to the design of sustainable
-
architectural choices for neural networks. This project will be in collaboration with Prof. Mark Sandler from the Centre for Digital Music – a world-leading research centre in the field of AI for Music and Audio
-
, band selection Heterogeneous network architectures, including terrestrial and non-terrestrial networks Deep learning for wireless communication problems, particularly in areas such as spectrum management