5 component-labeling-cuda Postdoctoral positions at Lawrence Berkeley National Laboratory
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implementing, optimizing, or integrating quantum libraries such as Itensor, CUDA-Q, Qiskit, or PennyLane. Experience debugging and profiling distributed-memory parallel applications. Knowledge of Git and modern
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experimental work on water/CO2 electrolyzers and/or other related electrochemical devices (including possibly electrosynthesis) and their components in The Energy Conversion Group at the Energy Storage and
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the fundamental mechanisms of mineral interfacial chemistry, element and isotope partitioning, crystal growth, dissolution, and phase transformation. The project team uses state-of-the-art computational and
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thermoreflectance (TDTR) and Raman thermometry and non-linear spectroscopies like second harmonic generation (SHG). This work is part of a collaborative, multi-institutional effort that combines experiment and AI
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Python and C/C++ or Verilog, SystemVerilog. Excellent oral and written communication skills. Ability to work productively independently and collaboratively as part of a multidisciplinary team. Desired