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learning algorithms to support research in IDMxS. Key Responsibilites: Apply/ improve/ develop machine learning algorithms to process (e.g., classify, predict) data/ images collected by IDMxS. Help supervise
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Join Our Team at the School of Physical and Mathematical Sciences, Nanyang Technological University, Singapore The School of Physical and Mathematical Sciences (SPMS) at NTU Singapore hosts research
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the power system. Job Requirements: PhD degree in Electrical Engineering or related subjects. Expert knowledge in power system modeling and simulation Research experience with power system cyber-physical
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The successful candidate will join the world-class School of Physical and Mathematical Sciences (SPMS) as a Part-Time Lecturer, responsible for teaching and assessing undergraduate courses in
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. Job requirements Minimally Bachelor’s degree in Electrical Engineering, Physics, Optical Engineering or other related fields. Applicants with PhD or pending PhD Conferment preferred. Experience in Mid
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students, including research supervision and technical mentoring. Job Requirements: PhD qualification degree in condensed matter physics or related field Familiarity with topology and quantum geometry Good
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: - PhD in Physics/Photonics/Nanoscience or related field. - Experience in nanophotonics/plasmonics, optical spectroscopy, and data analysis. - Familiar with micro/nanofabrication (DLW preferred) and
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pricing model for multi-flight airlines; (b) an empirical model that assess the impact of DP on customer loyalty; (c) process a massive real-world database to valid the models in (a) and (b); (d) produce
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evaluation of the project’s core technical components in expert-in-the-loop agentic AI for manufacturing. Develop process-centric AI methods and software tools for BPMN modelling, Petri/CPN formalisation
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information can strengthen community networks and encourage adaptive behaviors in a warming urban environment. Key Responsibilities • Conduct multi-scale multi-physics numerical simulations, e.g. simulation