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technical guidance on EMI characterization to help optimize communication system protocols and ensure robust performance in noisy environments. Collaborate with researchers to enable the generation and
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laser structures for backreflection-resilient operation Develop and optimize silicon plasma dispersive devices for on-chip optical isolation Fabricate heterogeneous lithium tantalate photonic isolators
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immunophenotyping of colonic tissues. Develop and optimize small animal models of colitis to investigate the mechanistic role of SCFA-producing microbes in mucosal repair. Perform data analysis using computational
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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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Singapore’s AI-for-Science ecosystem. Key Responsibilities: The candidate is expected to conduct the following research works Develop and optimize multimodal LLM/MLLMs for downstream tasks (adaptation
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interactions in vitro and in vivo. Here, the work will be devoted to the derivation, characterization and optimization of neural progenitor cells from human induced pluripotent stem cells for in vitro cell
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will be encouraged to develop thermodynamic interpretations of these mechanisms to optimize their efficiency. Analytical computations, processing and fitting of experimental data, paper writing
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required to develop and demonstrate single-photon light detection and ranging (LiDAR) systems by integrating in‑house single‑photon detectors. The role will assess various LiDAR configurations, optimize
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colorectal cancer organoid culture integrated with perfused microvascular networks. The role will focus on optimizing and standardizing vascularized organoid workflows, executing drug-response and combination
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models, and foundation models Strong programming skills in Python and deep learning frameworks such as PyTorch Experience with large-scale experiments, model optimization, and performance analysis