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. The preferred candidate will have a strong academic or industrial background in machine learning, trustworthy machine learning and AI, agentic AI, adversarial machine learning, graph-based learning, multi-domain
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machine learning, deep learning, data visualization, and applied analytics for multi-modal datasets. Technical proficiency with Python, R, SQL, SPSS, Tableau. Architectural and design software expertise
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protocols, develop machine-learning methods for decision-making, and validate results on lab testbeds. Collaborating with experts in cybersecurity and computer science, the researcher will publish high
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information here ! PURPOSE We are seeking a highly motivated researcher with a strong background and interest in machine learning and artificial intelligence. The position focuses on the development and
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); Proficiency in machine learning and Python programming; Strong scholarly writing skills with a demonstrated publication record and fluency in LaTeX compilers; Excellent verbal and written communication
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an anticipated start date as early as 1 June 2026. Successful applicants must start on or before 1 September 2026, or their fellowship will be awarded elsewhere. Machines or equipment used in the performance
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Type Staff Job Description Our Commitment Texas A&M University is committed to enriching the learning and working environment by promoting a culture that respects all perspectives, talents & lived
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Type Staff Job Description Our Commitment Texas A&M University is committed to enriching the learning and working environment by promoting a culture that respects all perspectives, talents & lived
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upon future funding. Qualifications Required Education and Experience Appropriate PhD in a related field. Preferred Qualifications Experience with machine learning and deep neural network techniques
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(s). Knowledge of pulse generators, oscilloscopes, multimeters, power supplies, diode lasers, telescopes, cameras, range finders, lathes, milling machines, 3D printers, band saws. Salary: Compensation