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the design of an AI test environment for open-source Large Language Models (LLMs). Research on the influence of low-frequency expert data on LLM-based systems and development of robust strategies
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, uncertainty estimation or trustworthy AI Experience with foundation models, self-supervised learning or large-scale pretraining Experience with external validation on multi-centre imaging data Experience with
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 2 hours ago
. Quantifiable information about polynya dynamics can be obtained from satellite imagery revealing long, regularly-spaced 'windrows' of nascent ice crystals generated by a subsurface flow known as Langmuir
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both empirical and simulated genetic data. These metrics will be applied to a unique large-scale dataset on plant genetic diversity in grasslands and forests. The position is part of the collaborative
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biostatistical methods to better personalize treatment of cancer patients from deep and diverse types of biomedical information. Analysis of large‑scale clinical, genomic, and molecular datasets. Development and
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Requisition Details GENERAL REQUISITION INFORMATION EEO Statement: UNMC is an Equal Employment Opportunity Employer, including an equal opportunity employer of protected veterans and individuals
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Are you passionate about using data science and machine learning to address mental health inequalities in rural and coastal communities? The University of Lincoln is seeking an ambitious
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as a one‐year appointment, but renewable annually based on performance. The position involves postdoctoral work in developing efficient methods and tools for analyzing large-scale biomedical data with
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., R, Python, SAS, or STATA) Experience working with large population dataset (e.g. EHR, claims data) Background in health informatics, population health research, or biostatistics, computer science
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the Liverpool City Region to build on the Young Voices, Big Ideas project and foster ownership of the Children Growing Up in Liverpool birth cohort study in the wider community, and understand how people perceive