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and wave-equation–based modeling, including familiarity with adjoint-state methods, gradient-based optimization, and multi-scale inversion strategies. Proven expertise in machine learning and deep
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of fertilizers into the soil. The project aims to develop and optimize innovative porous carriers to enhance fertilizer efficiency, controlled release, and sustainability in agricultural applications
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findings at conferences. Assist in troubleshooting and optimizing fabrication and testing processes for new devices. Qualifications PhD degree in Electrical Engineering, Materials Science, Mechanical
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Engineering. Admission requirements: Candidates must cumulatively meet the following requirements: Requirement 1: Be enrolled in a PhD programme in Data Science and Engineering; Electrical and Computer
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to the UrEco 2030+ project: “Optimizing Urban Ecosystem Services Model for Urban Climate and Biodiversity in Singapore towards 2030 and Beyond.” This position requires experience in Geographic Information
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recommendations for material selection and optimization. Writing and publication of results in peer-reviewed journals Assist in securing external funding through grant applications and proposals. Job Requirements
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. Key Responsibilities: Develop and run a Cu–Cu hybrid bonding flow for fine-pitch 3D integration. Optimize process windows (pressure/temperature/anneal/surface activation) to minimize contact resistance
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with optimized engineering methods to prepare biomaterial scaffolds and neural cells for a robust manufacturing and successful transplantation into the body. Job Requirements: PhD in Biological Sciences
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design and execute experiments using lung cancer and lung infection Organ Chips. Develop, optimize, and characterize human lung microphysiological models for translational studies. Analyze and interpret
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to optimize the design and performance of floating breakwaters. Develop models for stability assessment, structural integrity, and dynamic response of floating systems. 3. Connector Design Design and analyze