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data. Leading statistical analysis (methods may include IPTW-weighted Cox regression, active comparator new-user designs, self-controlled case series, propensity scoring). Developing and extending an AI
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one of the following areas: - Methodology development in wavefunction-based electronic structure methods, quantum Monte Carlo, tensor networks, or quantum embedding methods
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Date 09/25/2026 Qualifications Minimum Education and Experience Co-Adjutant faculty are expected to have graduated from a Masters or PhD program in Public Administration or an affiliated field
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Knowledge, Skills, and Abilities Preferred Qualifications · PhD in a STEM discipline or closely related field. · Prior participation in, or support of, an NSF-funded doctoral training program, research
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learning and quantum information science. Candidates with experience in method development and high-performance computing are especially encouraged to apply. A Ph.D. in chemistry, physics, computer science
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: 279052 Minimum Education and Experience: PhD degree in Health Informatics, Biomedical Informatics, Information Science, Health Sciences, or a related field Prior experience with applied
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subordinate personnel and provide guidance on research methods and techniques. Develop and implement new or revised program goals, strategies, and objectives. Create and manage program work plans, oversee
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Qualifications Minimum Education and Experience PhD with expertise in plant molecular genetics and transcriptomics analyses. Experience in duckweed research would be highly desirable. Certifications/Licenses
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Posting Close Date Qualifications Minimum Education and Experience ● PhD in Computer Science or related discipline. ● Has a proven track record of excellence in artificial intelligence/machine learning and
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demonstrated knowledge and expertise of cancer surveillance methods as well as data management in conformance with national standards and cancer surveillance best practices. Outstanding human relations and