Performance Engineer Adsorption (80-100%)

Performance Evidence Definition: You translate system‑level and scale‑up questions into clear experimental objectives and KPIs, define required datasets and operating windows, and ensure that testing generates reliable, traceable, and decision‑ready performance evidence. 

Experimental Data Analysis : You process and structure KPI‑based datasets with statistical rigor, identify trends and operational limits, evaluate thermal or transport constraints, and quantify uncertainty to deliver robust insights from experimental results. 

Model Validation & Risk Identification : You compare model predictions with experimental outcomes, identify calibration gaps and model assumptions needing refinement, diagnose deviations, and propose targeted improvements while contributing to standardized validation workflows. 

Cross‑Functional Technica...