Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
influence the program's ability to meet federal secondary school program objectives and prepare students for the academic rigors of college. During the academic year, this position will oversee the academic
-
) that resonate with potential partners, creating templates that streamline our partnership engagement efforts, and tracking prospect communications to ensure we achieve intended volume and cadence. Relationship
-
. This includes compliance, oversight of program management, proactive reporting, data quality assurance, file tracking for program change, establishment of goals and objectives for the quarterly and annual data
-
for the future of mobile and satellite communications. Fields of applications range from 5G/6G telecommunications to satellite-based internet connectivity. For details, you may refer to the following: https
-
tracking and coordination with trades. The OM/EA plans and executes the twice-annual Anchor Week on-site event and composes and publishes the quarterly LTS newsletter. This role includes regular 1:1 meetings
-
registration. To plan, implement, and evaluate intentional services to meet program goals and objectives intended to promote post-secondary access and success. Description of Duties Serves in a hybrid (in person
-
Skip to Main Content Press Control+M to start dragging object ptnbsid=ouTDbvdC7rkgjRgO17i%2baH11twE%3d Back Accessibility Enable Screen Reader Mode Keyboard Shortcuts Accessibility Help Job
-
Details Open Date 02/05/2026 Requisition Number PRN16534N Job Title Hourly Research Assistants Working Title Hourly Research Assistant Career Progression Track S00 Track Level S3 - Skilled, S2
-
segmentation, tracking, classification, and more. You will utilize probabilistic models to produce uncertainty-aware predictions across scales. This role requires deep knowledge of the underlying models and
-
these models for scalable vision tasks, instance segmentation, tracking, classification, and more. You will utilize probabilistic models to produce uncertainty-aware predictions across scales. This role requires