18 parallel-processing-bioinformatics positions at Lawrence Berkeley National Laboratory
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(LBNL ) Biological Systems and Engineering (BSE ) Division has an opening for a Research Associate (Associate Process Engineer) to join the Advanced Biofuels and Bioproducts Process Development Unit
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(deep learning, generative models, NLP, computer vision) and integrate these approaches with Lab-scale HPC and cloud environments. Develop and optimize pipelines that combine HPC with AI frameworks
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for the U.S. Department of Energy's (DOE ) Joint Genome Institute. You will be responsible for managing engagements with external partners, including JGI's computer infrastructure providers and collaborative
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generating microbial expression libraries, DNA assembly, bioinformatics, and handling microbial cultures. Demonstrated ability to work independently and as part of a team. Demonstrated ability to successfully
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-stack quantum processing units (QPUs). Develop and validate performance bounds for QPUs beyond brute-force classical simulability. Design and conduct experiments on contemporary quantum hardware platforms
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to fundamental hydrological, mechanical and biogeochemical processes in soils, sediments and rocks. Setup and conduct laboratory analysis of geomaterial samples. Conduct data processes, analytics and communicate
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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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quantum computer control systems. Assist in developing and testing PCB boards. What is Required: Ph.D. degree in physics, applied physics, electrical engineering, or a related field within the last 3 years
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-design validation experiments with experimentalists; iterate models using feedback from new measurements. Automate the workflow: Build Python workflows for simulation and data processing, including HPC job
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for complex scientific problems Designing algorithms to improve the performance of scientific applications Researching digital and post-digital computer architectures for science Developing and advancing