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Field
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-on learning and research opportunities. The Postdoctoral Research Associate will contribute to the development of algorithms and software that enable teams of robots to perform coordinated maneuvers, self
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independently and as part of a collaborative research team. Preferred: Familiarity with relevant software packages and/or programming languages, such as Bruker TopSpin, Varian VnmrJ, Mestrelab Mnova, and Python
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development, intelligent software architecture and design, automated testing and verification, code generation and repair, DevOps and deployment automation, software maintenance and evolution, software
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conferences. Mentorship & Service: Assist in mentoring graduate and undergraduate students in control theory, machine learning, data analysis, and software implementation; assist in grant proposal development
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(Horticultural Sciences, Plant Genetics, Genomics, Breeding, or closely related field). Required Knowledge, Skills, and Abilities: Experience in R programming and software for genetic analysis of polyploid plant
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, protocol review, and partner communication. Maintain lab equipment and software, such as equipment calibration and software update. Conduct regular lab safety check, such as lab equipment set-up, workspace
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) is a generalization of the standard QBF that allows them to succinctly encode many hard problems arising in hardware verification, circuit design and software synthesis. The main goal of this project
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, spatial or temporal omics, or other methods for longitudinal interrogation of living systems. Experience of translational device development, including SOPs, design controls, verification, scale-up, quality
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structuring of river systems. Familiarity with software and tools for simulating river network dynamics, such as R, Julia, Python, or GIS-based hydrological modeling platforms. Ability to integrate physical
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required. Research Integration and Testing: 20% Integrate research methods, algorithms, software, sensing systems, and emerging technologies into laboratory, simulation, and field-based research environments