25 phd-mathematical-modelling-population-modelling Fellowship positions at Zintellect
Sort by
Refine Your Search
-
Listed
-
Field
-
with a team focused on developing new systems and novel techniques and tools, such as improving smoke modeling systems through a variety of means. This may include multi-model approaches, statistical and
-
approaches will include species distribution models and integration of spatially explicit environmental variables including climate, hurricane disturbance, and land-use, among other global and Caribbean region
-
use of molecular assays such as real-time PCR and next-generation sequencing to study the prevalence of infectious diseases in the target study populations. Learning about sample testing under a
-
balance modeling techniques (see below) with existing datasets of field-observed microclimate measurements (e.g. temperature and soil moisture) under various vegetation structural conditions. Objective 2
-
. Qualifications The qualified candidate should hold or be currently pursuing a master's degree or PhD in Mechanical Engineering, Biomedical Engineering, or a related discipline. Postgraduates must have earned
-
(MPH, MS, PhD). Highly competitive applicants will have experience or skills in the following: U.S. Citizenship is required, must be able to pass a background investigation. SAS 9.4 experience is desired
-
to understand how the results of collected vapor samples will influence the system at large via optical, thermal, kinetic, and/or rate equation models. Why should I apply? Under the guidance of a
-
Sciences (40 ) Mathematics and Statistics (1 ) Physics (2 ) Social and Behavioral Sciences (1 ) Veteran Status: Veterans Preference, degree received within the last 120 month(s). Affirmation I affirm
-
in several areas. These include, but are not limited to: Literature reviews and logic model development related to primary prevention of sexual assault, harassment, suicide, domestic abuse, and child
-
) Engineering (27 ) Environmental and Marine Sciences (14 ) Life Health and Medical Sciences (51 ) Mathematics and Statistics (11 ) Physics (16 ) Science & Engineering-related (2 ) Social and