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Field
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team, at the Department of Pharmacology, School of Medicine, National University of Singapore. 1.Experimental Work Lead the design, execution, and troubleshooting of experiments related to microbial
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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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to predict fluid flows can take hours or even days to complete, which makes them impractical for design iterations or optimization of different concepts in industrial settings. Recent work in our group have
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composition and physical properties to ensure optimal quality and performance Familiar with the fabrication and characterization of porous materials. Insertion and encapsulation of fertilizers within the porous
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for composites. Sensor integration for real-time monitoring and predictive analytics. AI-driven digital tools for material optimization and certification processes. Collaborative work across industrial and
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predictive diagnostics, personalized medicine, and clinical trial optimization, while collaborating with internal and external stakeholders, NHS partners, and industry to deliver demonstrator projects with
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Demonstrated expertise in small-molecule synthesis, optimization, and structure–activity relationship (SAR) studies Strong problem-solving skills and the ability to work independently within a collaborative
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wish to optimally combine work and family life or other personal interests, we are able to support you with our modern employment conditions and the on-site infrastructure. Your employment contract is
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foods including through high moisture extrusion. Key responsibilities will include: Explore innovative methods for food process optimization including the use of AI and machine-learning Develop and
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fully funded postdoctoral position with two years of guaranteed funding. The project is part of a larger interdisciplinary research program called Pathogen Response Optimization by GENeratIng ThErapeutics