4 finite-element-methods Fellowship positions at Lawrence Berkeley National Laboratory
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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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and staying current with new training methods and architectures. Experience with performance and profiling tools such as Perftools, NVIDIA Nsight, AMD uProf, or Omniperf. Debugging experience with
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, Materials Science, or a related field. Hands-on experience with first-principles or atomistic methods relevant to interfacial systems, including DFT, ab initio MD, enhanced sampling techniques, or tight
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networking technologies, software, algorithms and applications Evaluating or developing new and promising HPC systems and networking technologies Researching methods to control and manage next-generation