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and machine learning to optimize treatment conditions. Contribute to the development of reproducible stress priming methods and assist in transferring knowledge to agricultural stakeholders. Required
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the advances in battery technology, as it enables more precise monitoring, control, and optimization of battery performance throughout its lifecycle. By incorporating digital tools such as algorithms, and
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Falls Posting Context Statement Position Overview Lead research projects focusing on developing and optimizing network protocols for power systems. Explore innovative applications of AI in modeling and
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& design, catalyst design & modelling, and carbon capturing & conversion. Proficiency in fluidized reactor design & optimization, hydrodynamics & molecular dynamics modelling (openFOAM, Ansys Fluent, LAMMPS
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responses. The successful candidate will work at the interface of viral vector development and cancer immunology, contributing to NIH-funded projects involving VSV platform optimization, immune modulation
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within the predetermined research scope and methodology of department and university. Develop a theoretical framework for certifiable trajectory optimization based on quadratically constrained quadratic
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, advanced optimization and control of semiconductor manufacturing processes and systems. Experience in working with advanced AI/ML software packages and super-computing cluster systems, including Hadoop
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cluster provides shared access to state-of-the-art instrumentation across multiple imaging platforms and techniques, technical expertise, and assistance in optimal image collection and analysis
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record of publications in reputable peer-reviewed journals or conferences in maritime transport, logistics management, machine learning, deep learning, and optimization; Proficient in written and spoken
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development and optimization of plasma-based PVD and CVD processes for advanced material applications. Operate and maintain semiconductor analysis and metrology tools to evaluate thin film and device properties