62 phd-position-in-data-modeling-"UCL"-"UCL" Postdoctoral positions at Northeastern University in United States
Sort by
Refine Your Search
-
an innovation corridor that in the coming years will stretch from Boston to Portland and beyond. Position Type Research Additional Information Northeastern University considers factors such as candidate work
-
and data science, digital engineering, the advanced life sciences and medicine, and other tech fields. Partnership is what sets our education and research model apart. With leading companies
-
. Ability to SCUBA dive within the AAUS framework is a plus. Position Type Research Additional Information Northeastern University considers factors such as candidate work experience, education and skills
-
The work heavily depends on data-driven, evidence-based modeling and collaboration with practitioners. The successful candidate will have completed a PhD (any discipline, required by start of appointment
-
hybridization, confocal microscopy, microCT, and electron microscopy. Ability to SCUBA dive within the AAUS framework is a plus. Position Type Research Additional Information Northeastern University considers
-
disease dynamics, preferably with applications to emerging or re-emerging diseases; Proficiency in programming languages such as R, Python, MATLAB, C++, or similar tools for data analysis and model
-
., epidemiology, applied mathematics, statistics, or network science) by the start of the appointment, Experience developing complex models for real world data, with strong programming skills (R, Python, and/or
-
., epidemiology, applied mathematics, statistics, or network science) by the start of the appointment, Experience developing complex models for real world data, with strong programming skills (R, Python, and/or
-
surrogate model discovery are strongly preferred. This appointment is intended to be a two-year commitment; after one year the position will be renewed if funding is available. This position has no teaching
-
underserved populations. Research skills and experiences will include utilizing mixed methods research, community engagement, qualitative, quantitative, and big data collection and analysis. This position