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computational electromagnetics and electromagnetic simulation techniques. Experience in AI-based RF transistor modelling is highly desirable. Solid knowledge of machine learning algorithms and their application
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epitaxy (MBE) Develop innovative approaches to accelerate MBE materials development using in situ characterization & machine learning Integrate epitaxial synthesis with exfoliated two-dimensional materials
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The National Institute of Education invites suitable applications for the position of Research Assistant on a 17-month contract at the Learning Sciences & Assessment Department . Project Title
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Job Description Apply now Job Title: Assistant Manager (Community Integration, Service and Learning) Posting Start Date: 22/01/2026 Job Description The Office of Student Affairs (OSA) is a student
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to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and
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Empathy and understanding of the unique challenges faced by military personnel. • Technical Proficiency: o Proficiency with virtual training platforms and learning tools (e.g., kahoot). o
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computational chemistry, reaction network analysis, and machine learning for organometallic catalytic reactions. 2. Design of membrane-permeable macrocyclic peptide drugs via machine learning structure
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School graduates over a thousand students who are ready to take on great ambitions and challenges. For more details, please view: https://www.ntu.edu.sg/eee Electromagnetic Effects Research Laboratory
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students. Job Requirements: A Bachelor’s degree in relevant fields with past experience in embedded system, machine learning and software development. Knowledge in robotic system development is a plus
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As a key member of the Learning and Talent Management Team within NTU’s Office of Human Resources. This role is instrumental in building NTU’s organizational and workforce capability to cultivate a