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topology optimization, generative design, and bioinspired design, SC3DP creates optimized products using a variety of novel materials and printing processes, including hybrid printing, post-processing, and
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in a research project on machine learning modeling and optimization of vertical farms. Key Responsibilities: Development of new machine learning modelling approaches Development of new advanced control
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projects focusing on scaling up our electro-metallurgical battery recycling technologies from lab to pilot scale. Main activities include Process Development, Testing and Optimization • Design, Test and
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for future generations by procuring and managing NUS Libraries’ print and digital resources efficiently and strategically — ensuring timely access, optimal licensing, cost-effectiveness, and alignment with
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execution, process operation and optimization, and pilot transfer of the translated technologies on pilot scale in collaboration with IHL’s and industry. The successful candidate will be responsible for: Lead
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, molecular cloning, and microscopy. They will work closely with the PI and other team members to establish and optimize assays central to the lab’s core research areas in cell division and cancer biology
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resolution and troubleshooting during programme execution. Financial Planning & Budget Oversight Prepare and oversee detailed programme budgets, ensuring optimal resource allocation and cost-efficiency. Track
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, combining data from various sensors such as LiDAR, cameras, IMUs, and wheel encoders. Implement and optimize path and motion planning algorithms, including obstacle avoidance and trajectory generation. Work
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and organic digital marketing efforts to ensure optimal results. Collaborate with other teams and faculty to deliver content that aligns with the branding strategy. Identify opportunities
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Optimization models. Strong programming skills in Python. Good English writing and communication skills for research work. Independent and team player. We regret to inform that only shortlisted candidates will