Sort by
Refine Your Search
-
expertise in at least one (or more) of the following areas: Computer Architecture/Systems: Design, modeling, simulation, and/or physical design of heterogeneous system/processor architectures; Silicon
-
opportunity to play an active role in research by helping conduct experiments with infants, children, and adults in laboratory and school settings, and gaining experience in computational modeling and
-
grant management, financial management and modeling, and all financial compliance within Opportunity Insights (OI). The ADRAF will oversee and manage the Finance Associate. In addition to managing staff
-
the analyst on any tasks that the Senior Data Scientist assigns to them. Serves as a resource to the team for computer programming and statistics. Occasionally, group training on specific tools or models
-
the department is a model of public accountability, community orientation, and constitutional policing while upholding the institution’s mission and values. Collaborates with senior leaders on strategic planning
-
statistics (required) Previous experience estimating econometric models (strongly preferred) Interest in applying to a quantitative PhD program and pursuing an academic career (strongly preferred). We prefer
-
. This initiative will map, monitor, and engage the people shaping this new media environment, and examine how platforms and business models are reshaping online political engagement. The program will aim to offer
-
, and assisting in the development of age-reversal interventions as potential therapeutics. The successful candidate will employ both in vitro and in vivo (mouse model) experimental approaches under
-
learning models for data extraction and standardization. While prior experience with deep learning is not required, proficiency in Python is essential. Knowledge of Spanish or traditional Chinese is a plus
-
Qualifications Preference will be given to candidates with prior experience in one or more of the following areas: ecological (population) modeling, geographic information science, remote sensing, population