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Mathematics, Control Theory, Dynamical Systems, Partial Differential Equations, Algebraic Geometry, Quantum Algorithms, and Information Theory Application Fields: Biological Systems, Agriculture, Epidemiology
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, transportation systems and biological interactions. These systems are represented as networks. A network is a set of objects that are connected to each other in some fashion. Mathematically, a network is
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research theoretical optics, focusing on mathematical modeling of optical materials, nonlinear optical systems, and optical phenomena in advanced materials. Teaching Responsibilities: Complex Analysis
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real-world applications in green chemistry and industrial synthesis. Key Responsibilities: Develop and implement AI/ML models (e.g., graph neural networks, transformer-based models) for retrosynthetic
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research theoretical optics, focusing on mathematical modeling of optical materials, nonlinear optical systems, and optical phenomena in advanced materials. Teaching Responsibilities: Complex Analysis
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in some fashion. Mathematically, a network is represented by a graph, which is a collection of nodes that are connected to each other by edges. The nodes represent the objects of the network and the
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Science and Society, but also by examining the truth of scientific theories (this is the role of the epistemologist) and the impact of putting them into practice (this is the role of the researcher in
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of Machine Learning (Theory or Practice). A successful candidate will be expected to lead a research team of graduate students as well as teach at the undergraduate and graduate levels. The position is open to
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Sciences (Theory or Practice). A successful candidate will be expected to lead a research team of graduate students as well as teach at the undergraduate and graduate levels. The position is open to
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learning methods. Develop deep learning architectures (e.g., variational autoencoders, graph neural networks, transformers) for cross-omics data representation and feature extraction. Apply multi-view