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- 
                Field
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                developing optimized modules in C#/C++ within Unity and/or Unreal Engine Experience with database management systems For network engineer role: Experience in computer networking, multiplayer architecture, and 
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                characterization, and functional properties of milk proteins and peptides. Our primary research goal is to understand their impact on human health. Our current projects involve developing and optimizing methods 
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                Engineer/Fellow, you will design, operate, and optimize the lab’s 5G infrastructure and support experimental studies that advance new 5G features and use cases. Key Responsibilities Operate and maintain 
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                research projects in aquaculture (e.g., health monitoring, yield prediction, system optimization) and/or drug delivery (e.g., predictive modeling, nanocarrier design, therapeutic response analysis). Develop 
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                to aquaculture health and/or therapeutic delivery. Develop, optimize, and evaluate delivery platforms (e.g., nanoparticles, encapsulation, oral delivery systems, or biofilm-based approaches). Design and perform in 
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                performance and yield; spanning from optimal “device recipe” prediction to automated testing and yield assessment. The post-holder will have the ability to engage with world-leading experts across AI and 
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                will work at the interface of first-principles theory (e.g., DFT) and reactive force field modeling (e.g., ReaxFF), developing multiscale, high-throughput workflows that simulate and optimize growth 
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                record of or exceptional promise for research. The fellow will work with Prof. Sam Petti on developing methods for modeling, optimizing, and interpreting biological fitness landscapes. Successful 
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                to the Singapore Centre for 3D Printing (e.g. competitions, conferences and hosting visits) Requirements: Ph.D. in the area of Industrial, Mechanical, and Materials Engineering Engineering Design and Optimization 
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                is required to have a PhD in operations research, mathematics, computer science or a related area. Experience in discrete optimization, demonstrated by at least one publication, is essential. Strong