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Berkeley Lab’s (LBNL ) Energy Geosciences Division (EGD) has an opening for a Postdoctoral Researcher in Machine Learning for Geological Carbon Storage to join the team. In this exciting role, you
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machine shop environments, as needed, to modify, build, install, or maintain the equipment, instrumentation, and components all needed to ensure the new ALS Accelerator is fully operational. Work with
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separating and preparing physical documents, office supplies, computer equipment, and lab materials for salvage, archive, or disposal. Sorting and labeling materials by project. What You Will Do: Assist with
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Machine Learning (ML) models and Python script or equivalent, as well as perform room temperature and cryogenic temperature electrical and mechanical measurements. What You Will Do: Perform mechanical
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verifying the data entries across data sheets and workbooks. This position may also include separating and preparing physical documents, office supplies, computer equipment, and lab materials for salvage
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areas for development, implementation, and evaluation of (1) advanced FDD and control tools (including both model predictive control (MPC) and machine-learning) for building HVAC and district energy
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assignments. At this level you should be able to perform most of the activities: Fabricate, assemble, machine, install, operate, test, inspect, maintain, troubleshoot equipment processes or systems associated
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demonstrated experience. Additional Responsibilities as needed: Plan and conduct research to develop machine learning techniques for the tuning and performance optimization of ECR ion sources. Contribute
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Responsibilities as needed: Plan and conduct research to develop machine learning techniques for the tuning and performance optimization of ECR ion sources. Contribute to VENUS's overall software development
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group analyzing deep soil warming experiments across the world. In this exciting role, you will apply mechanistic and machine learning models to study observed effects of warming on soil and ecosystem