Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
-
Field
-
transistors to solve some of society’s most pressing computational challenges. Silicon-based approaches to quantum information processing offer advantages for scaling such as high qubit density, record qubit
-
Computation , Quantum Information , Quantum Information Science , Quantum Simulation , simulation-based inference Cosmology / Particle Astrophysics/ Gravitational Physics , particle phenomenology and
-
for this position will be: Solid modeling and design of high-performance integrated photonic devices Process development of low-loss photonic integrated circuits on different material platforms Heterogeneous
-
Paderborn University is a high-performance and internationally oriented university. Within interdisciplinary teams, we undertake forward-looking research, design innovative teaching concepts and
-
, Black Holes , Modfieid Gravity , Quantum Gravity Astroparticle Physics quantum gravity/quantum cosmology (more...) Cosmology / Gravity , Observational Cosmology , Theoretical Cosmology Particle Physics
-
IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 2 months ago
IT4Innovations National Supercomputing Center is a leading research, development, and innovation centre active in the fields of High-Performance Computing (HPC), Data Analytics (HPDA), Artificial Intelligence (AI
-
DTU Tenure Track Researcher in Low-Noise Supercontinuum Lasers and Supercontinuum Laser based Opt...
for the position. DTU Electro has more than 300 employees with competencies in electrical and photonics engineering. Research is performed within nanophotonics, lasers, quantum photonics, optical sensors, LEDs
-
applied Machine Learning Hands-on experience with High Performance Computing Systems Basic knowledge of System Architecture of Supercomputers and NVidia-GPUs Practical experience with ML/DL workflows and
-
control under high inverter-based resources (IBRs). • Develop and apply artificial intelligence (AI)/machine learning (ML) techniques for power system planning, operation, control, and cybersecurity