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the research program operates in compliance with regulatory agency guidelines. Projects are both independent and in collaborations with faculty members and multilevel trainees within the Department of Pediatrics
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Description Position: Postdoctoral Fellow (no. of vacancies: 1) Start date: Flexible (two-year appointment) Requirements 1) Hold or expect to hold a Ph.D. degree in Statistics, Computer Science, Mathematics
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perspectives on large language models Statistical learning theory and complexity analysis Automated theorem proving and formal methods Random matrix theory and its applications in modern AI systems This position
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 1 hour ago
: Doctorate in Oceanography, Meteorology, Statistics, or similar field. Required Knowledge, Skills & Abilities: Fluent in one or more programming languages (python, Julia, or possibly R) Able to perform
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relevant programming languages. Ability to use/learn several advanced modeling methods (e.g., statistical, mathematical, individual-based, or machine learning models). Experience with high-performance
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relevant programming languages. Ability to use/learn several advanced modeling methods (e.g., statistical, mathematical, individual-based, or machine learning models). Experience with high-performance
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, nearly 12,000 faculty and staff and 350,000+ living alumni, UC combines a Top 35 public research university with a physical setting The New York Times has called “the most ambitious campus design program
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Postdoc in assessing carbon sequestration potential of different wetlands as nature-based solutio...
and scenario models Experience and understanding in statistical analyses. Collaborative skills and ability to participate actively in multidisciplinary teams A fondness for taking the initiative and the
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prostate tumor samples. This position requires a strong background in both experimental proteomics and computational data science (R and Python), with an emphasis on LC-MS/MS workflows and long-term cohort
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optimization of new quantum materials. Data Analysis and Interpretation Perform quantitative analysis of research data; Use statistical and computational tools to interpret results and generate insights; Present