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swimming. The successful candidate will lead quantitative analysis of animal configuration and related flow field topology utilizing graph theory to assess the impact of swimming and environmental conditions
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for cotton jassid, emphasizing microbial control agents, including entomopathogenic fungi and entomopathogenic nematodes, and evaluating their compatibility with generalist predators. Responsibilities
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make a difference in the world! Position Information This Postdoctoral Research Associate, Pasture Mealybug Biological Control and Molecular Ecology, will focus on identifying key natural enemies
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. The project will involve drone optimizations, computer vision, closed-loop control, multi-modal sensor fusion, machine learning, and transfer learning methods. The candidate will also work in collaboration with
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workers as needed Apply established quality control criteria in all experimental designs Perform basic lab responsibilities include following SOPs, careful record keeping, following lab safety regulations
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Python are required. Experience with control and optimization of power generation systems (e.g., wind power) is desirable but not required. Some experience with real-time control hardware is desirable but
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modelling, theoretical physical organic chemistry and electronic structure theory to advance our understanding of chemical reactivity. We aim to develop new concepts and computational tools to drive
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make a difference in the world! Position Information Texas A&M AgriLife Research – Dallas Center (https://dallas.tamu.edu/ ) is seeking a highly motivated individual to join the Controlled Environment
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process diagnostics with closed-loop process control of AM platforms, and work with fellow researchers to implement machine learning algorithms based on in-situ data collection and analysis. Minimum
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shell scripting Fluency with scientific programming in Python, R, and/or MATLAB Creative thinking skills and a predisposition for problem solving A command of the literature in the neurobiology