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Field
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model fitting, including Bayesian model fitting, is desirable but not essential. Familiarity or experience of management and analysis of large multidimensional real world data sets using Stata, R, Python
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of different security mechanisms, including guardrails, to filter malicious content and detect prompt injections, and testing on a functional prototype (e.g., through attack simulations in a red teaming logic
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the application of rock physics models, Bayesian inversion methods, and machine learning algorithms in the electromagnetic context. Qualifications and personal qualities: Applicants must hold a master’s degree (or
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of field studies and cultivation and growth of plants/ fruits, and filter construction and maintenance as related to the research project. Participant will learn about scientific and laboratory setup
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for high frequency applications with our research team and our collaborators. The roles of this position include: Carbon Nanotubes growth, transfer and characterization Waveguide/filters/lens device
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cleaning, alignment, variant calling, and filtering is highly desirable. Experience on R scripting, analytical pipeline developing, and interpreting is desirable. Skills in GWAS, QTL, genomic selection, and
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of identifying excellent researchers and accelerating them in using AI to advance and disrupt Science or Engineering. Here ‘AI’ is interpreted very broadly, e.g.: topics in Bayesian Inference and Robotics
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. Experience in the implementation of mathematical or statistical models and model fitting, including Bayesian model fitting, is desirable but not essential. Familiarity or experience of management and analysis
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, mathematical psychology (computational modelling) and/or human factors methods and related statistical techniques (including Bayesian hierarchical methods) Experience with the development and application
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foundation for image analysis (e.g., affine transformations, convolutional filters, matrix and morphological operations) Programming skills in Python, MATLAB, and/or experience with ImageJ, Napari, Imaris