Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
expected to develop and lead projects. Ideal candidates will have knowledge of population genomics, machine learning, and evolutionary theory. Candidates should have a strong track record of publication; be
-
. The lab component reinforces lecture content and provides students with experience in techniques commonly used in research laboratories and biopharmaceutical settings. Students will learn the theory and
-
-in staff member. Experience supervising midlevel Residential life professionals preferred. Comprehensive understanding of student development research and theories preferred. Demonstrates
-
complex project. ● Eagerness to work as a member of a cross-disciplinary research team. Not Required but Preferred ● Experience mentoring undergraduate research assistants. ● Experience with coding
-
time, and believe software is a systems engineering challenge rather than a coding problem. See website for details of programs: http://www.coe.neu.edu/graduate-school/multidisciplinary The appointment
-
multidimensional nature of emotional disorders. Many of the statistical techniques emphasized in the lab span disciplines such as network theory, dynamical systems, and machine learning, among others. Accordingly
-
demonstrated counseling ability utilizing development theory to create a student-centered academic environment. • Be detail-oriented and have the ability to work with precision. • Have the ability to keep calm
-
interdisciplinary research group that develops tools, theory, and models for complex systems. We use these tools to document—and fight against—emergent or systemic disparities across society, especially as they
-
, compute, storage, and hybrid connectivity. Infrastructure as Code (IaC): Proficiency in Terraform, Bicep, ARM templates, and PowerShell for infrastructure automation. Cloud Security & Compliance: Strong
-
the group’s research and philosophy head over to www.d2r2group.com Qualifications Strong background in ab-initio calculations of materials (density functional theory) and high-performance computing