9 algorithm-development-"Prof"-"Prof" Fellowship positions at Lawrence Berkeley National Laboratory
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mitigation strategies. Validate, analyze, and interpret experimental data. Develop algorithms for near-term hardware based on critical evaluation of the literature, and original thinking. Design quantum
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scalable quantum algorithm development and quantum-HPC codesign. What is Required: PhD in Computer Science, Computational Science, Applied Mathematics, or a related field awarded within the last five years
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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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partners at NVIDIA and Dell to prepare high-impact workflows for 12,000+ NERSC users. What You Will Do: Contribute to one or more NESAP AI-based scientific workflows targeting NERSC HPC resources, edge
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Administration (NNSA) nonproliferation mission. Fellows conduct their own project, build cross-lab networks, and receive targeted career and leadership development through the Next Generation Nonproliferation
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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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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