Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
candidate will have hands-on experience with major cloud providers (e.g., AWS, Azure, GCP) and possess a strong background in networking, security, and automation. You will play a key role in optimizing our
-
performance by providing actionable insights and supporting data-driven decision-making to optimize business outcomes. Oversee the business case review process, including valuation, ROI computation, cost
-
analyze key performance metrics, to monitor success of initiatives, optimize the approach and report on course impact We regret that only shortlisted candidates will be notified. Hiring Institution: NTU
-
multi-sensor SLAM systems for firefighting robots, optimizing for speed, memory, and power. ROS2, Jetson platform experience, and deep understanding of SLAM backends are essential. Key Responsibilities
-
patients to produce images with optimal diagnostic quality consistently. Work in conjunction with academic staff to conduct practical sessions on intraoral and extra oral radiography. Conduct pre-clinical
-
patients to produce images with optimal diagnostic quality consistently. Work in conjunction with academic staff to conduct practical sessions on intraoral and extra oral radiography. Conduct pre-clinical
-
or innovative implementation whether in programmes, systems, processes or services. 7. Management of data; optimized usage of data for reporting and analysis for strategic planning and decision making. Programme
-
administration. Key responsibilities include but are not limited to: Coordinate class and exam timetables, and manage module allocations to optimize student learning. Provide administrative support for course
-
Optimization and Design in Learning and Robotics'. Key Responsibilities: The successful applicant will be responsible for: Obtaining rigorous mathematical results at the interface of geometry, analysis, and data
-
competent languages; A good record of publications in reputable peer-reviewed journals or conferences in maritime transport, logistics management, machine learning, deep learning, and optimization; Proficient