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Field
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: analytical chemistry, sustainable chemistry, and organic chemistry. PhD programmes are conducted in five areas: analytical chemistry, physical chemistry, materials chemistry, inorganic chemistry and organic
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. The Variational Quantum Eigensolver (VQE) is one such optimization algorithm that helps determine the total energy of molecules. In the NISQ era, simulating molecules with more than 16 qubits is a hard problem
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chip. A strong background in the design and fabrication of silicon photonic devices, advanced characterization techniques, and an interest in semiconductor materials optimization is highly desirable
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materials integration, nano-enabled coatings and multifunctional composites. The main duties foreseen are: Design, synthesis and optimization of Cu-Metal-Carbon interfaces in copper based nanocomposites
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Responsibilities Development of new machine learning modeling approaches Development of new advanced control and optimization algorithms Optimization of carbon capture process operation Provide regular project
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structured around two main pillars: Network resilience and sovereignty, i.e., research on networking architectures and mechanisms that keep critical networks and applications they support running optimally
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, National University of Singapore. Key Responsibilities • MMV system performance evaluation and optimization in tropical climates. • Design and conduct thermal comfort and indoor environmental quality
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outcomes using both imaging and molecular biology methods including confocal microscopy and RNAscope Design and conduct any downstream, secondary assays for hit validation and lead optimization. Work with
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the research for the project on robot human teaming. Key Responsibilities: The Research Fellow will work on a project to conduct research for human robotic teaming, in particular: Perform optimization
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genomic approach to profile enhancer dependencies. Develop and optimize experimental workflows integrating scRNA-seq, scATAC-seq, and other single-cell omics. Interpret high-dimensional data in