22 big-data-and-machine-learning-phd Postdoctoral positions at University of Houston Central Campus
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, or closely relevant fields • Expertise in developing novel statistical and mathematical models for addressing data challenges in real-world applications • Publications in top data science and machine learning
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and sets up experiments in hybrid research environment. 2. Researches artificial intelligence/machine learning algorithms, database design, deep learning, big data, and cloud computing. 3. Publishes
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postdoctoral researcher who would further develop their skills in the acquisition and interpretation of isotope data and advance their leadership and management experience. The candidate is expected to: • Apply
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support the CPP research, grant applications, and outreach. During the academic year the fellow will teach one or two courses. Position Qualifications: Required: PhD in Public Policy, Political Science
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. • Publish research findings in high-impact journals and present at relevant conferences. The qualifications include: 1. Ph.D. in Computer Science, Computer Engineering, or related fields 2. Prior research
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members across electrical engineering, earth science, signal processing, and machine learning to ensure methodological rigor and practical relevance. Qualifications: -Ph.D. in Electrical Engineering
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supervision conferring with higher levels only in unusual situations. 8. Performs other job-related duties as required. Preferred Qualifications: Candidate must have a PhD in Psychology, Vision Science
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in biomedical optics and microscopy, so a PhD in a relevant field of study is necessary. MQ: Requires singular knowledge of a specialized advanced professional discipline or the highest level of
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skills to allow for completion of assignments that cross fields of specialization. Develops leadership and management skills. The Texas Center for Learning Disorders (TCLD), in collaboration with
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. Additional skills for Image Science: Programming, careful data analysis, high-performance computing, shell scripting (c, bash), medical imaging Candidates with a recent PhD or those anticipating Ph.D. (all