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competitive salary (> S$70k/year) for the position with the consideration of years of experience postgraduate. The duties of the Postdoc include: Collect and process remote sensing data relevant
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manipulation Experienced in cleanroom process such as UV Lithography, E-Beam PVD, Sputtering, RIE, etc At least 2 years research experience in related area Good communication skills and the ability to work with
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required to give seminar(s). You are also required to acknowledge ARI in all your publications resulting from the period you are at the Institute. Application Process Please submit all documents in one
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. Qualifications Experience writing/using computer code Experience supervising postgraduate students and/or staff Experience presenting research findings at national and international conferences, seminars, and
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content and interface with the industry Ensure processes and procedures are executed in compliance to the University’s policy framework Constantly seek improvement for laboratory operations (e.g. reduce
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publication record. Outstanding data analytics, mathematical, and computer modelling skills. Excellent interpersonal communication and oral presentation skills in English Self-driven and strong team spirit Open
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are especially encouraged. Application Process: Interested applicants should apply on AcademicJobsOnline, by June 13th, 2025. The application should include: - A CV (Required) - A writing sample (Required) - Three
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including key components such as cell configurations, flow channels, electrodes, membranes, and catalysts for HER and other electrochemical processes. • Conduct CFD and electrochemical simulations
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. Experience in AI system security, adversarial robustness, and resilience of autonomous agents in emerging technologies and computer security (e.g., malware analysis, bug detection, program repair). Excellent
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areas: Time-series analytics or forecasting Natural language processing (especially question answering or language grounding) Multimodal learning (e.g., combining text with temporal or numerical data