Sort by
Refine Your Search
-
, emulations, physical testbeds, and commercial networks. Collect and analyze KPIs such as throughput, latency, and reliability, and fine-tune network parameters to meet diverse QoS requirements. Prototype and
-
, emulations, physical testbeds, and commercial networks. Collect and analyze KPIs such as throughput, latency, and reliability, and fine-tune network parameters to meet diverse QoS requirements. Prototype and
-
engineering, computer science, or related fields. At least 2 years of relevant experiences in similar role / technical hands-on experience in specific scope Advanced signal processing and programming skills
-
learning-based computer vision algorithms and software for object detection, classification, and segmentation. Key Responsibilities Participate in and manage the research project together with the PI, Co-PI
-
, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems
-
Requirements: PhD in geophysics, geology, geomatics, geodesy, geomatics, electrical engineering, computer science, natural hazards, or a related field Demonstrated skills in remote sensing, image processing
-
accelerating its practical adoption in construction and beyond. The Research Fellow is expected to: • Assist the design and lead the commissioning and operation of the new metal additive manufacturing
-
an exception basis, a two-year programme may be supported. Service Commitment One year for every year of sponsorship. Application Process Applications are open throughout the year via the various links below
-
, emulations, physical testbeds, and commercial networks. Collect and analyze KPIs such as throughput, latency, and reliability, and fine-tune network parameters to meet diverse QoS requirements. Prototype and
-
University of Singapore is a multi-disciplinary institute committed to developing new paradigms for biomedical research by focusing on the quantitative analysis of dynamic functional processes. Through