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Lawrence Livermore National Laboratory

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Lawrence Livermore National Laboratory

Livermore, California

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Lawrence Livermore National Laboratory

Livermore, California

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Lawrence Livermore National Laboratory

Livermore, California

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Lawrence Livermore National Laboratory

Livermore, California

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Lawrence Livermore National Laboratory

Livermore, California

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Lawrence Livermore National Laboratory

Livermore, California

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Lawrence Livermore National Laboratory

Livermore, California

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Computational Biophysicist - Postdoctoral Researcher
Lawrence Livermore National Laboratory

  • PhD in computer science, computational biology, computational physics, computational chemistry or equivalent combination of education and related experience.
  • Knowledge and experience in developing novel machine-learning based methods for enhancing the sampling of rare events, using free energy methods to model protein-protein binding affinities and developing statistical analysis of large-scale molecular dynamics datasets.
  • Experience at the postdoctoral or higher level in the fields of molecular dynamics simulations, free energy calculations, transition path theory, enhanced sampling methods, machine learning, and statistical mechanics.
  • Demonstrate advanced computer skills including programming experience with Python or C++ in a UNIX environment as well as experience using large high-performance computing clusters, including the use of job schedulers such as SLURM, PBS or Flux.
  • Ability to work independently on defined research projects, as well as a member of a large team.
  • Ability to develop independent research projects as demonstrated through publication of peer-reviewed manuscripts in the field of molecular modeling and simulations.
  • Ability to travel, as necessary, to interact with sponsors, customers and collaborators.
  • Proficient written, verbal communication and interpersonal skills necessary to deliver presentations, prepare written reports and to interact with a diverse set of scientists, engineers, and other technical and administrative staff.

Qualifications We Desire:

  • Experience in collaborating with experimental biologists as well as understanding and using experimental data in combination with computational research.
  • Experience in developing and training machine-learning based models in high-performance computing systems.
  • Experience computing binding affinity, stability and/or other metrics using scoring functions like Rosetta.
  • Experience with parallel programming tools used to develop high performance code on GPU's and/or CPU's, such as OpenMP, MPI, CUDA or OpenCL.
  • Experience using collaborative programming workflows and tools such as git, Gitlab, or subversion.
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About Lawrence Livermore National Laboratory
For more than 60 years, the Lawrence Livermore National Laboratory has applied science and technology to make the world a safer place.Livermore’s defining responsibility is ensuring the safety, security and reliability of the nation’s nuclear deterrent. Yet LLNL’s mission is broader than stockpile stewardship, as dangers ranging from nuclear proliferation and terrorism to energy shortages and climate change threaten national security and global stability. The Laboratory’s science and engineering are being applied to achieve breakthroughs for counterterrorism and nonproliferation, defense and intelligence, energy and environmental security.
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