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theory, Extremal Graph Theory, Combinatorial Optimization, Matroid Theory, and Algorithms. This appointment is for about two years, and the starting salary is no less than KRW 66,000,000. The appointment
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• Conduct research on the design, fabrication, and characterization of advanced composite materials for additive manufacturing. • Develop, optimize, and evaluate material
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for 3 years. Responsibilities The successful candidate will: Develop, optimize and validate advanced 3D cell culture models, including spheroids, organoids and tissue-engineered constructs. Establish
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- “Integrated optimization of vehicle scheduling, charging and platooning for autonomous electric trucks”. Qualifications Applicants should have: (a) a doctoral degree or an equivalent qualification and must
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accelerators for problems that are not efficiently handled by digital systems, such as AI training, real-time optimization, etc. Key Responsibilities: Defining detailed experimental steps. Conducting experiments
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packaging. The successful candidate will play a dual role: spearheading the development of on developing and integrating modeling, co-design, and data-driven optimization methodologies for BS-PDN-enabled
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pathogens in the hospital environment, spanning all aspects from sampling to sequencing to bioinformatics analysis. This should include experience in developing and optimizing laboratory protocols
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platforms, including robotic systems, laboratory automation, and AI/machine learning-assisted approaches for experimental design, optimization, and materials discovery. The research will target advanced
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key role in driving high-impact research, developing innovative objectives, and formulating proposals within cutting-edge fields, including Computer Vision, Digital Healthcare, AI Optimization, and
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with demonstrated ability to implement and optimize AI/ML models for biomedical datasets. Preferred Knowledge, Skills and Abilities Mathematical Modeling: Strong foundation in numerical modeling, graph