-
-borne diseases modeling. The ideal candidate should have 1) a strong background in applied mathematical sciences, computer science, or any other quantitative field, 2) experience with population biology
-
on the application under CV/Resume or upon answering the questionnaire you may attach the documents. Qualifications Required Education Ph.D. in Mechanical/Civil Engineering, Applied Mathematics, Theoretical Physics
-
. Qualifications Required Education Ph.D. in Mechanical Engineering, Applied Mathematics, Theoretical Physics, or a closely related field Preferred Qualifications Demonstrated experience in theoretical and
-
epidemiological modeling. Prior experience with mathematical modeling of vector-borne disease and gene drive control systems. Knowledge, Skills, and Abilities Programming skills in R or Python. Ability to work
-
: Research Percent Effort: 82.5% Perform theoretical derivations and analysis of the mathematical models, including math models in fluid dynamics, geomechanics and heat transfer equations. Implement
-
Measure Theory : Leveraging foundational mathematical frameworks to design robust modeling approaches. 2) Deep Learning : Exploring cutting-edge techniques such as multimodal data integration, diffusion
-
information here ! PURPOSE The purpose of the position is to assist Dr. Rupert in his research agenda, and to teach courses in the Department of Mathematics and Statistics at TAMUCC. The postdoc will bring
-
science, and/or public health or related fields including industrial and systems engineering, computer science, economics, statistics, mathematics, physics, epidemiology, social work, sociology, and