53 machine-learning "https:" "https:" "https:" "https:" "RAEGE Az" Postdoctoral positions at Texas A&M University
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Education and Experience: Appropriate PhD in a related field. Preferred Qualifications: Experience with machine learning and deep neural network techniques. Experience with wearable and sensors placed in
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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 experiences
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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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); 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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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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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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in this area but will also be offered to collaborate with Dr. Peterson on projects regarding AI ethics. In addition to this, the Postdoctoral Research Associate may have the opportunity to teach a
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: Appropriate PhD in related field Knowledge, Skills, and Abilities: Familiarity with appropriate laboratory and technical equipment; ability to effectively use a computer and applicable software to create data
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on the application under CV/Resume. Why Texas A&M University? 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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, Texas Job 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