22 distributed-systems-networks-phd positions at Lawrence Berkeley National Laboratory
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approach for distributed quantum computing with neutral atoms. This research aims to integrate atomic ensemble qubits into optical tweezer arrays of single atoms, enabling quantum networking between state
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on safety practices and system operations. Collaborate with engineers, scientists, and external partners on system integration, building a strong professional network across disciplines. Safety & Risk
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systems and GPU-accelerated processing. Proficient in computing languages for software/hardware integration, data analysis, networking; specifically, Python and C/C++. Proficient with Linux computer systems
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batteries, electrolyzers and fuel cells, electrode material synthesis, spectroscopy, detailed diagnostics, and cell design) to aid in electrochemistry research. What is Required: PhD in chemical engineering
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physics, chemical science and materials science, combustion, fusion energy, nuclear physics, biology, climate change, and HPC systems and network technology. Research areas in Computing Sciences include but
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astrophysics and cosmology, accelerator physics, chemical science and materials science, combustion, fusion energy, nuclear physics, biology, climate change, and HPC systems and network technology. Research
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the full stack, and develop scalable classical simulations (e.g., tensor networks)--including performance bounds beyond brute-force classical simulability. This role is deeply collaborative with the Advanced
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Required, at Level 3: Bachelor's degree in Physical Sciences, Computer Science or related field or equivalent is required. Masters and PhD degrees in similar disciplines are preferred. Typically requires a
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generation of distributed software infrastructure for JGI, represent the JGI in relevant reviews, national and international activities, and within the broader DOE National Laboratory system. The JGI 's
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National Laboratory's (LBNL ) Chemical Sciences Division is seeking a Postdoctoral Fellow in Digital Chemistry and Spectroscopy. This exciting opportunity focuses on the digitalization of cutting-edge