29 algorithm-phd-"Prof"-"Washington-University-in-St"-"Prof" positions at University of Houston Central Campus
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qualified candidates to apply for a postdoctoral research position. The research will focus on statistical modeling, machine learning and trustworthy AI to develop effective and efficient algorithms
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supervision conferring with higher levels only in unusual situations. 8. Performs other job-related duties as required. Responsibilities: -Develop and implement advanced numerical algorithms and deep learning
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research participants. Leverages data analysis and web development skills to build a platform that optimizes matching algorithms, provides intuitive user experiences, and integrates comprehensive data
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. Leverages data analysis and web development skills to build a platform that optimizes matching algorithms, provides intuitive user experiences, and integrates comprehensive data analytics tools. 1. Manages
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interest • Report scientific results in peer-reviewed academic journals and talks. Required Knowledge, Skills, and Abilities: • PhD. in Physics, Chemistry, Material Science, Photonics or related field
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at the university or professional training level. A complete application will include a letter of application, curriculum vitae, and transcripts. Qualifications M.F.A or PhD in Technical Direction Official
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-curricular programs. Experience working with undergraduate students in the pre-health professions and collaborating on co-curricular activities is required. Applicants must hold a PhD in a relevant field and
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the heart of a great metropolis. The University of Houston is responsive to the needs of dual-career couples. Qualifications: • PhD (or ABD) in Management or related fields • Existing and/or strong potential
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optimization (e.g. partitioning, distribution, indexing), and join algorithms (e.g. hash vs nested loop) · Experience in CI/CD automation for a data lake using CDK (Cloud Development Kit) or Terraform Preferred
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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