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. Within a collaborative team, you will contribute both to cutting‑edge methodological development and to the creation of accessible, open‑source tools used by public health professionals and researchers
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target trial emulation: Developing and Applying advanced causal inference methods to analyze real-world data (e.g., OLDW) Scientific writing: Publishing leading biostatistical and clinical journals Data
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multi-modal characterization of neurobiology of stress response and resilience to stressors in fish. The aim will be to integrate technology to develop the knowledge base for understanding stress
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, pH, moisture, glucose, and other small molecules. We are also interested in the development of assistive biosensing system, which can be integrated into the medical robotic systems to guide
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hazards of organic solvents by developing solvent-free synthetic approaches. You will gain expertise in mechanochemistry—a transformative technology in sustainable synthesis—alongside advanced organosodium
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the project’s cross-cutting computational and bioanalytical objectives and will involve developing a data base to record and access clinical data from a wide variety of animal species and also to develop a
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About the lab We are a newly established computational research group at the Translational Genomics Research Institute developing and applying pangenome methods to study genome variation and
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A research-only academic is expected to contribute to the University’s research effort while developing their research expertise through the pursuit of defined research projects relevant
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NTU, CEE is a leading school for Sustainable Built Environment. We are looking for a research fellow to support the development of smart connectors for modular floating breakwaters. The role will
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science into benefits for human health and the economy. About the role Our lab aims to understand how functional organs are built during embryonic development, an important problem in biology with