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- 
                Field
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                Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a 
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                reputed refereed journals and presenting at conferences. Technical expertise in programming (e.g. python) and experience with high-performance computing are highly desirable. Experience in machine learning 
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                management system for the e-vessel microgrid for coordinated control of multiple energy sources considering cost, carbon, and operation constraints. Operate the simulated electrical model on a real-time system 
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                Performance . About You The successful candidate will play a key role in the development and validation of computational tools that integrate spatial transcriptomics, algorithmic methods, and machine learning 
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                effect prediction. The fellow will work under the mentorship of Dr. Alex Luedtke and collaborate with an interdisciplinary team of statisticians, physicians, computer scientists, and health policy 
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                , modular battery with machine learning algorithms. The aim is to develop a high-performance, intelligent battery system that includes advanced thermal management and high-performance battery management 
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                skills. Demonstrated ability to work independently and as part of a team with minimal supervision. Demonstrated capacity to deliver high-quality project outcomes in a timely manner. Computer programming 
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                Independent definition, development and implementation of processes for transferring promising laboratory concepts into the 300 mm high-tech cleanroom environment Optimization of process flows and metallization 
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                effect prediction. The fellow will work under the mentorship of Dr. Alex Luedtke and collaborate with an interdisciplinary team of statisticians, physicians, computer scientists, and health policy 
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                , biomedical or computational imaging). A detailed knowledge of molecular imaging, or material science is mandatory. Experience in designing and performing scientific work independently and collaboratively is a