Postdoc Fellow: Data-Driven Biomolecular Modeling

Colorado School of Mines

Golden (CO)

On-site

USD 60,000 - 65,000

Full time

6 days ago
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Job summary

Colorado School of Mines in Golden, CO invites applications for a Post Doctoral Fellow in chemical and biological engineering. The candidate will develop data-driven coarse-graining for biomolecular systems and study energy transduction dynamics under equilibrium and nonequilibrium conditions.

Strong programming and scientific computing are required, with experience in molecular dynamics and multiscale modeling preferred.

Qualifications

  • PhD in related field with computational methods experience.
  • Experience with molecular simulation and programming.
  • Ability to conduct independent computational research.
  • Familiarity with data-driven modeling and ML preferred.

Responsibilities

  • Develop coarse-grained models with improved accuracy and dynamics.
  • Apply strategies to study biomolecular self-organization during energy transduction.
  • Develop, implement, and maintain open-source code for simulations.
  • Prepare manuscripts for peer-reviewed journals.
  • Present findings at conferences and symposia.
  • Mentor graduate and undergraduate researchers.

Skills

Molecular simulation
Statistical mechanics
Programming
Scientific computing
Machine learning
Coarse-graining
Data-driven modeling
Multiscale modeling
Dynamical systems
High performance computing

Education

Ph.D. in chemical engineering, chemistry, physics, materials science, biophysics, applied mathematics, computer science

Tools

GROMACS
LAMMPS
OpenMM
TensorFlow
PyTorch
JAX
GPU computing
Git
Version control

Job description

Colorado School of Mines in Golden, CO invites applications for a Post Doctoral Fellow in chemical and biological engineering. The candidate will develop data-driven coarse-graining for biomolecular systems and study energy transduction dynamics under equilibrium and nonequilibrium conditions.

Strong programming and scientific computing are required, with experience in molecular dynamics and multiscale modeling preferred.

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