Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
ensure data integrity and accuracy, addressing any discrepancies proactively. Collaborate with the Development team to enhance the efficiency of processes and implement automated solutions where feasible
-
Engineering, Computer Science, or a closely related discipline. Strong interest in processor architecture, digital IC design, or hardware acceleration for AI. Knowledge of computer architecture, digital systems
-
for internal talks, public events, and major programmes (e.g., Summit), including print, digital, and social media content, while ensuring compliance with Corporate Communications Office (CCO) approval processes
-
clearly and effectively. Strong organisational, administrative, and time-management skills, with the ability to support clinic operations, workflow, and quality assurance processes. Professional, ethical
-
problems in areas like NLP, Computer Vision, or on tabular data. Generative AI & LLMs: Hands-on experience developing LLM-powered applications, including Prompt Engineering, Retrieval-Augmented Generation
-
. licence agreements, milestone payments). Review and monitor adherence to IP Policy, investment governance processes, and internal audit requirements. Act as corporate representative for NTUitve’s portfolio
-
to projects by performing medium-level coding tasks, assisting with technical challenges, and supporting the development process. Compliance Audits: Participate in audits to ensure compliance with both internal
-
Knowledge of electrodialysis, electrochemical systems, or ion transport processes Familiarity with surface functionalization techniques or polymer chemistry Experience in experimental design and materials
-
Management, and escalate unresolved at project team level. Requirements: Degree in Computer Science, Computer Engineering, or equivalent. Certified Project Manager, either CITPM or PMP certified, with at least
-
: PhD degree in Computer Science, Electrical Engineering, or a closely related field Strong research background in computer vision and deep learning Solid experience with multimodal learning, segmentation