117 evolution-"https:"-"https:"-"https:"-"https:"-"https:"-"U.S"-"U.S" Fellowship positions in Singapore
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of integrating AI into therapeutic development. Key Responsibilities: Lead experimental wet-lab efforts to scale up high-throughput screening of RNA therapeutics. Design and conduct molecular biology
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development, optimization, and validation of in vitro mammalian cell based assays that are related to metabolic diseases (such us cell culture, RNA/protein extraction qPCR, western blotting and other metabolic
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proactively taking on new tasks when necessary to facilitate the team’s development. The candidate may also have opportunities to supervise junior researchers, develop research proposals and attract additional
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are looking for a Research Fellow to help develop power line communication systems and characterize the electromagnetic compatibility (EMC) of the system. Key Responsibilities: Lead the design, development, and
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The team is seeking a Research Fellow/Postdoctoral Fellow in the area of microfluidic engineering and instrumentation development for cell-based biological analysis and sorting. Under the co
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subsystems: manta-ray-like fin propulsion. Responsibilities include mechanical and actuator design, prototype fabrication, control development, hydrodynamic and energy characterisation (tank/flume tests
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. • Applicants with expertise in interface development, micro/nano fabrication, animal experiments, and artificial intelligence would be preferred. • Strong written and spoken communication skills. • Open to
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Materials Development for Sustainable Rare Earth Element Recovery Using Electrodialysis (AI-REE) Project Introduction: This project focuses on developing sustainable and cost-effective technologies for rare
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Health Services and Data Science (Project: Development of Natural Language Processing and Item response Theory based systems for Patient Reported Outcomes Measurement) Optimizing the performance of health
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the day-to-day coordination of the project, conducting data collection with children, and contributing to the development of machine learning and deep learning models for early prediction. The research