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will focus on developing a process-guided and AI-assisted soil community foundation model for natural climate solutions. Candidates with prior experience in process-based modeling/data analytics/deep
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geophysical survey and machine learning algorithms. Mainly responsible for processing geophysical/geomechanical data and analysing the data using machine learning. Conducting research, supervising undergraduate
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data analytics; Development of marine geophysical survey and machine learning algorithms; Process geophysical/geomechanical data and analyze the data using machine learning; Conduct research, supervise
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delivery of assigned Thrust 3 milestones and outputs. Job Requirements: PhD in Electrical or Electronic Engineering, Computer Science, Computer Engineering, Cybersecurity, Applied Cryptography, or a closely
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-conversion, and quasi-phase matching. 4. Technical proficiency in numerical modeling and analysis of optical waveguides, photonic structures, and nonlinear optical processes; design and optimization of van der
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research into health intervention processes; and increase Singapore’s regional and international profile as a centre of excellence for health behavioural sciences. We are looking for a Research Fellow to
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. • Experiments & AI Integration - Synthesize and process functional materials relevant to batteries, aerospace alloys, and semiconductors using solid-state, solution, or thin-film methods. - Apply advanced
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be preferred. Requirements: PhD degree in Learning Sciences, Educational Technology, Human-Computer Interaction (HCI), Information Technology, AI, or a relevant field Demonstrated experience and
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solutions compatible with the cryogenic environment, and manage and document process, design, and measurement data. Operate and maintain research laboratories, including cryostats and optical setups, in
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project is required to: Develop and implement advanced process and energy system models for integrated, low-carbon, and net-zero energy applications. Conduct research on energy systems integration and