7 Statistics Postdoctoral positions at National Renewable Energy Laboratory NREL in USA in United States

Postdoctoral Researcher - Controls, Emulation, and Scale-up for Clean Energy Transition

control, and optimization Knowledge of Artificial Intelligence, machine learning, deep learning, active learning, transfer learning, etc. Knowledge of statistical techniques including sampling strategies

Postdoctoral Researcher – Multi-resolution Transportation and Energy Modeling

computing, and advanced choice modeling techniques are encouraged to apply. Relevant areas of research the candidate will be working on include: (i) Travel demand modeling, (ii) Econometric and statistical

Postdoctoral Researcher – NMR Spectroscopist for Biomass Cell Wall Analysis

for lignocellulosic biomass compositional and cell wall structural analysis using nuclear magnetic resonance (NMR) spectroscopy Critical analysis of data using variety of statistical tools and formatting

Postdoctoral Researcher – Nondestructive Testing for In-line Quality Monitoring of High-volume, Roll-to-roll Fabrication Processes

error analysis, Gauge R&R, Six-Sigma or Statistical Process Control. Ability to design algorithms for automatic processing for large amounts of imaging and experimental data. Practical knowledge

Postdoctoral Researcher – Process modeling and sustainability analysis for plastics upcycling

Demonstrated experience with doing statistical analysis (ie sensitivity or uncertainty) PhD degree in chemical engineering or related field Preferred Qualifications Demonstrated experience with programming codes

Postdoctoral Researcher – Extreme Data Learning

using streamed and distributed data, ·       Physical correction of reduced models using statistical and machine learning techniques. In addition, the successful candidate will be able to work

Postdoctoral Researcher- Thin Film Synthesis and Characterization of Novel Nitride Semiconductors for Solar Energy Conversion and Fuel Generation

(e.g. LabView, C/Igor Pro, Python, Matlab, etc.), statistical data analysis, and/or software development. Strong motivation, ability to work on collaborative projects, ability to balance different types