Computational Bayesian Statistics and Applied Mathematics Expert
Tasks
- Analyze results and refine problem complexity
- Build evaluation criteria and oracle functions
- Collaborate with stakeholders to improve benchmarks
- Create Python validation scripts
- Design computational challenges
- Develop Bayesian research scenarios
- Ensure reproducibility and documentation
- Test tasks against AI models
- Use scientific software and libraries
Perks/Benefits
- Flexible project schedule
- Flexible working hours
- Fully remote
- Opportunity for project extensions
- Weekly payments via Stripe or Wise
Skills/Tech-stack
Bayesian statistics | CmdStanPy | DACEyPy | DOLFINx | Dedalus | Devito | FEniCSx | Fenics | FiPy | Finite Difference Method | Finite difference | Finite element | Finite element method | Gudhi | Learning evaluation | Linux | Lmfit | MCMC | Machine Learning | Machine learning evaluation | Numerical Simulation | Numerical computing | Optimization | PyJAGS | PyStan | Pymc | Python | Scikit-fem
Education
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