8 algorithm-development-"University-of-Surrey" research jobs at Lawrence Berkeley National Laboratory
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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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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
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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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Daniel Carney. What You Will Do: Develop advanced techniques to surpass the Standard Quantum Limit (SQL) and enable quantum-coherent readout of multiple devices. Conduct original research both
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the development and application of a digital twin approach, aimed at bridging the gap between theoretical predictions, data interpretation, and experimental/spectroscopic observations. What You Will Do: Design
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partners to develop and utilize novel characterization and diagnostic methods to identify critical performance and durability barriers for these electrochemical devices and develop hypotheses and strategies
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of neural population dynamics. This position has the specific focus of developing ML methods to assess the feedback controllability of neural population dynamics recorded from brain organoids. This position
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development and laboratory automation systems (liquid handlers, robotic colony pickers etc.). Experience with sequencing technologies and microfluidics. Experience using fluorescence-activated cell sorting