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environmental simulations and meaningfully advance the modeling of global lake ecosystem dynamics. This is a full-time, two-year position. The application deadline is May 15, 2025, and the expected start date is
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of infrastructure and technology systems for mathematical/computational modeling and control theory for life-cycle management optimization and policy of smart and sustainable infrastructure and environment systems
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Do you have experience with modelling structures subjected to dynamic loading? Are you interested in data-driven methods for modelling applied loading? Are you eager to share your knowledge within
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(AUH), where the newly developed therapeutic oligonucleotides will be tested in preclinical models. Applicants must hold a PhD in chemistry and have documented experience in organic synthesis and nucleic
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mathematical and analytical models to predict coil loss, facilitating the optimal design of HPMCs Constructing a large-signal platform to measure coil loss of HPMCs Exploring innovative solutions, such as new
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-edge machine learning, including Large Language Models (LLMs), to enhance decision-making and planning in robotic systems. Qualifications: Applicants must have a PhD in Robotics, Control Theory
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if you Have a PhD in operations research, industrial engineering, or a related field with a strong background in mathematical modeling and optimization (completed or near completion). Have experience with
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will play a pivotal role in advancing research in artificial intelligence (AI), energy-efficient computing, foundational mathematical models, high-performance computing (HPC), dimensionality reduction
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data-driven infection research, such as the development or innovative application of computational tools to analyze and integrate data or mathematical models to understand complex systems. Experience