60 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" research jobs at Texas A&M University in United States
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. These primary research themes include Affective Science; Neuroscience; Personality and Individual Differences. To learn more please visit our site at https://artsci.tamu.edu/psychological-brain-sciences
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translating our passion for chemistry to young scholars at all levels in many scientific fields. To learn more, please visit our website: http://www.chem.tamu.edu/ We are a prestigious university with strong
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, actuarial companies, the financial market, high-tech and computer-security companies, conservation and environmental agencies, energy, and many others. To learn more about us, please visit our website
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. To learn more please visit our site at https://artsci.tamu.edu/psychological-brain-sciences/index.html We are a prestigious university with strong traditions, Core Values, and a community of caring and
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to prepare them for a multitude of careers that depend on a solid understanding of biology. To learn more, please visit us at https://www.bio.tamu.edu/ . We are a prestigious university with strong traditions
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that bridge traditional areas of psychology. These primary research themes include Affective Science; Neuroscience; Personality and Individual Differences. To learn more please visit our site at https
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Date for this position is 01/05/2026. Who We Are The Bush School of Government and Public Service, https://bush.tamu.edu , was founded in 1997, under President George H.W. Bush's philosophy that public
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. QUALIFICATIONS PhD in Civil Engineering, Environmental Science, Computer Science, or a related field Research experience in hydrology, geospatial analysis, and machine learning Skills of scientific writing 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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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 the environment