16 distributed-algorithm-"Newcastle-University" positions at Lawrence Berkeley National Laboratory
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
communication with a record of leading and reporting results. Desired Qualifications: Knowledge of quantum computing algorithms. Familiarity with tensor network methods. Experience programming GPUs. Experience
-
for distributed AI training, agentic AI with modeling and simulation, and end-to-end workflow monitoring, profiling, and optimization. Working with quantum simulation tools, including NVIDIA CUDA-Q, to enable
-
Computing to join the team. In this exciting role, you will research in quantum computing, with a focus on the development of theoretical approaches and novel quantum algorithms that lead to scientific
-
algorithms to improve the performance of scientific applications Researching digital and post-digital computer architectures for science Developing and advancing extreme-scale scientific data management
-
wide range of numerical and machine learning (ML) computer algorithms as applied to reservoir engineering and geophysical imaging. This includes the simulation of thermal-hydro-mechanical-chemical (THMC
-
questions in quantum information science, and to guide near-term hardware and algorithm co-design. What You Will Do: Specialized research in conception and execution of quantum algorithms on superconducting
-
scientists and software developers to adapt tools and algorithms for use at the Molecular Foundry. Help translate user's scientific and technical requirements into automated or robotic tools and associated
-
classical simulation algorithms for quantum circuits. Explore approximate classical simulation algorithms (e.g., tensor networks, circuit cutting) to improve scalability. Publish scientific papers and present
-
software and integrate it into cloud-native workflows. Demonstrated understanding of core DevOps, software engineering principles for on-premise distributed systems, microservices, and HPC architectures
-
databases, assemblers, aligners). Experience with distributed computing and high-volume DNA sequencing. Demonstrated proficiency with programming languages including Python, R, C/C++, Java, in a Unix