Sort by
Refine Your Search
-
researching or using hydrological and nutrient transport processes, statistical methods in hydrology/environmental sciences, basin scale modelling experience using process-based hydrologic models Experience
-
). Knowledge of and experience with numerical analysis and applied mathematics, including optimization, statistics, and solution of inverse problems. Diverse experience in many application areas such as nuclear
-
implement statistical, AI and ML algorithmic solutions to real world problems in healthcare and biomedical research. You will have the opportunity to conduct computational research and collaborate with
-
spectrometry) is preferred. Experience working with mercury is strongly desired, but not required. Candidates should be well versed in experimental design, data analysis, modeling, and statistics. Experience
-
. The position requires innovative thinking to design and implement statistical, AI and ML algorithmic solutions to real world problems in healthcare and biomedical research. The candidate will be a Postdoctoral
-
the implementation of nonlinear constitutive models in commercial finite element (FE) codes is required. Strong background with probability and statistics is required. You will be expected to collaborate with
-
processes and interpreting fallout data. Focus on developing and validating mathematical methods, incorporating inverse calculations and statistical models, and integrating these methods into existing
-
calculation and statistical data analysis techniques is desired. Preferred Qualifications: Certified Energy Manager Certification. Excellent oral and written communication skills are required to support regular
-
, spatially resolved statistical measurements with reduced bias. Independent and motivated candidates capable of generating novel ideas, planning, and executing appropriate experiments, and extracting
-
for distributed energy resources (REopt, DER-CAM, DER-VET, Homer, System Advisor Model (SAM), TRNSYS, etc.) is highly advantageous. Familiarity with numerical calculation and statistical data analysis techniques is