Sort by
Refine Your Search
-
Circuits, Robust and Efficient Mapping of Quantum Algorithms on Quantum Machines, Quantum Noise-Aware Optimizations for QML, QML Security, Error Correction for Quantum Computing, Secure Quantum-Classical
-
of the requested profile will entail development and optimization of chromatographic methods and protocols for fractionation, separation and identification by mass spectrometry of hydro-soluble and lipo-soluble
-
therapeutic design, personalized diagnostics, and patient-specific treatment optimization. Leveraging the Human Phenotype Project’s longitudinal cohort data—from in-depth clinical assessments to continuous
-
-Aware Optimizations for QML, QML Security, Error Correction for Quantum Computing, Secure Quantum-Classical Systems, Privacy-Preserving Quantum Computing, and Fingerprinting for Quantum Computing. Strong
-
, high-impact, and original research. Research topics include, but are not limited to; machine learning for large models, trustworthy AI, explainable AI, deep learning, reinforcement learning, optimization
-
multidisciplinary teams, overseeing financial operations, and optimizing program delivery in a multicultural, international setting. Preferred Experience: Experience working in a higher education environment in
-
many-years of R&D experience in cross-layer design and optimization for building energy-efficient and robust AI/ML and vision systems, including efficient learning and inference of complex AI/ML
-
, dynamical systems, optimal transport, spectral theory, singularity formation, scattering, long time dynamics. Exceptional candidates in all fields of mathematics will be considered. NYUAD is strongly