Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
- Medical Sciences
- Economics
- Computer Science
- Business
- Engineering
- Materials Science
- Education
- Biology
- Science
- Arts and Literature
- Humanities
- Psychology
- Social Sciences
- Mathematics
- Law
- Electrical Engineering
- Design
- Environment
- Sports and Recreation
- Chemistry
- Linguistics
- Philosophy
- Physics
- Earth Sciences
- 14 more »
- « less
-
necessary conditions for a rewarding career. Job Summary The Research Assistant/Technician III works in collaboration with the Multiple Sclerosis (MS) & Neuromyelitis Optica (NMO) Clinical Trials Research
-
Job Type Staff Job Description GENERAL DESCRIPTION: The Texas Division of Emergency Management (TDEM) is an emergency response entity and this status can affect working hours, travel, and change in
-
customer service and software support for students, faculty, staff, and community patrons. Monitor patron logon and computer lab workflow. Performs initial technology troubleshooting and reporting (commons
-
, disability, or veteran or military status by any member of the KSU Community on campus, in connection with a University program or activity, or in a manner that creates a hostile environment for members
-
preparing and maintaining patient monitoring devices and anesthesia delivery systems before, during and after anesthesia. Depending on individual expertise and training, the task of the anesthesia technician
-
at the bedside or the Midtown outpatient center. The Neurodiagnostic Assistant assists in a full range of neurodiagnostic procedures, including routine EEGs, continuous long-term EEG monitoring setups and
-
related to University operations in the areas of nonresident alien taxation (NRA), sales & use taxes, working condition fringe benefits, and Unrelated Business Income Tax matters. Monitors federal, state
-
pertinent laws, regulations, and HIPAA guidelines Working knowledge or ability to learn departmental and system policies and procedures Ability to efficiently use computer systems to retrieve pertinent
-
project focused on the development machine-learning powered digital twin system for the structural performance of civil engineering structures. The project is a collaboration between multiple research
-
fast paced environment. Ability to work efficiently and independently. Demonstrated computer skills and an ability and willingness to learn new applications and software, procedures and processes