35 algorithm-development-"St"-"St" positions at Lawrence Berkeley National Laboratory
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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
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cutting-edge experiments and develop new techniques and instruments. This position leads the Diffraction at Non-Ambient Conditions Beamline 12.2.2, collaborating with users on state-of-the-art x-ray studies
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(LBNL ) Joint Genome Institute (JGI ) has an opening for a Bioinformatics Engineer to join the Genomics Analysis Team! In this exciting role, you will support the development of production-level quality
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experiments using superconducting quantum processors for quantum information science. Develop scalable calibration methodologies for quantum operations Troubleshoot noise processes on quantum hardware and
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National Laboratory is hiring a Project Scientist - Superconducting Materials & Interfaces (Quantum) within the Molecular Foundry division. This position will lead materials development efforts aimed
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-ray absorption spectroscopy and scattering measurements to characterize multiferroics and complex oxide with a focus on microelectronics application. Develop toolkits using Python or Matlab to analyze
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responsible for developing NERSC's storage strategy based on NERSC's systems roadmap, science workflows and user needs. They will provide vision and guidance to design, operate and simplify the storage
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. The focus of this role is to contribute to the rapidly evolving quantum computing technologies by developing the FPGA based control systems for a wide range of advanced qubit technologies, including
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computation and data in their research. Collaborate with scientists and Science IT specialists to develop and translate those needs into information technology requirements & Networks with key contacts outside
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thermometry to study 2D material and oxide interfaces; and conduct non-linear spectroscopies like second harmonic generation (SHG) to characterize the same. Prepare and characterize 2D heterostructures and