7 parallel-computing-numerical-methods research jobs at Lawrence Berkeley National Laboratory
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appropriate numerical and computational techniques Collaborate closely with theory teams to support experiments and develop new ideas Provide technical feedback to engineering and architecture teams
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Computational Postdoctoral Fellow (Quantitative Modeling Group) - 106785 Division: BE-Biological Systems & Engineering Berkeley Lab’s (LBNL, https://www.lbl.gov/) Biological Systems and Engineering
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vision/machine learning. Strong foundation in at least one of: numerical linear algebra, Fourier/spectral methods, scientific computing, and/or high-performance computing. Proven ability to publish in peer
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interfaces in Li-ion rechargeable batteries. These techniques include optical in situ characterization methods such as, Raman, FTIR spectroscopy/microscopy, ellipsometry, TERS, near-field nano-FTIR techniques
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research and development spanning areas such as optimization, Fourier analysis, numerical linear algebra, statistics, machine learning, and high-performance computing for one or more of the following: (1
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data resources. As a Department of Energy (DOE ) Office of Science user facility supported by the Biological and Environmental Research (BER ) program, JGI advances BER's mission to achieve a predictive
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scanning calorimetry (DSC), drop-solution calorimetry, acid-solution calorimetry, isothermal titration calorimetry (ITC), or related thermochemical methods. Experience with high-temperature or molten salt