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, viral tools, advanced bioinformatics, and statistical modeling to decode the complex molecular mechanisms that shape human vision. By leveraging high-dimensional data and cutting-edge computational
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, operations research, computer science, mathematical finance, or a related field, the successful candidate will demonstrate the ability to develop independent research ideas and contribute to advancing our
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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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Contract: 36 months, full time An exciting opportunity has arisen for a Postdoctoral Researcher to join the Howard Group, working on cutting-edge science in the field of Computational and Systems
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management. Requisite skills include DNA extractions (ideally from noninvasive sources), PCR, sequencing and basic statistical modeling (e.g., simple regression). Desired skills include qPCR, ddPCR, and/or
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in programming (Python, Julia) (provide evidence with specific examples). Experience with statistical modelling and experimental design. Ability to work in a multidisciplinary team. Strong written and
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bioinformatics, and statistical modeling to decode the complex molecular mechanisms that shape human vision. By leveraging high-dimensional data and cutting-edge computational analyses, we aim to uncover
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Prof Anuj Srivastava (Florida) and their teams. The project concerns methods for the statistical modelling of shapes changing in time, and involves mathematical and statistical techniques from
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The Small Fruit Breeding Program at Auburn University is seeking a breeding data manager and curator specialist (Post Doc Fellow) to support the research activities of a USDA Specialty Crops Research
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-scale human health datasets (e.g., UKBioBank, WHI, All of Us) using statistical and artificial intelligence/machine learning techniques. Develop and implement machine learning models, including