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organismal and evolutionary questions. Lead the analysis, writing, and submission of manuscripts arising from the funded project, and present findings at national and international meetings. Mentor
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electromagnetics applications. Primary responsibilities in this role include Leading development and implement state estimation and fusion algorithms for RF and robotic systems Lead implementation of
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the evolutionary dynamics of TSD within and across reptile species with differing patterns of sex-ratio response to developmental temperatures. Available lab resources include long-term data and
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hydrological and related datasets • Apply machine learning and AI techniques to interpret water system dynamics • Develop and implement algorithms using MATLAB and other programming languages (e.g
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platforms and field validation. Key Responsibilities Develop advanced methods in robust and adaptive control , state estimation , and motion planning Design and implement control and perception algorithms for
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: Develop and evaluate machine learning algorithms for RNA structure prediction. Design and test AI agent systems that integrate large language models with structural analysis tools. Benchmark state-of
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: Developing quantum algorithms and estimating their resources Classically simulating quantum circuits, with and without noise Developing and benchmarking quantum error mitigation techniques Designing quantum
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Requirements PhD in systematics, evolutionary biology, ecology, or other relevant field, Record of research productivity including publishing in peer reviewed journals. Expertise in plant
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equations: fast algorithms with stability/convergence analysis • Data-driven and machine learning-assisted methods: data assimilation, uncertainty quantification (UQ), and machine-learning-based
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, numerical method, and data-driven/machine-learning approaches, including: · Numerical simulation of kinetic equations: fast algorithms with stability/convergence analysis; · Data-driven and machine