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by: 25/11/2025 Are you looking for an opportunity to create significant impact and influence across a new large data set? We are offering a unique opportunity to drive the development, capture and
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large data set? We are offering a unique opportunity to drive the development, capture and iterative improvement of both a large data set model, and the techniques to generate informative report-based
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Fixed Term: Until 31 August 2029 Full Time: 35 hours per week The Opportunity: A Postdoctoral Researcher Position in Data Science/Molecular Epidemiology is available within the Marioni Group
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project - “Large vision model for spatial intelligence of autonomous systems”. Qualifications Applicants should have: (a) a doctoral degree plus at least six years of postdoctoral research experience
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University of California, Los Angeles | Los Angeles, California | United States | about 15 hours ago
large-scale sequencing data (e.g., whole exome sequencing, RNA sequencing, single-cell RNA sequencing). • Collaborate with experimentalists and clinical researchers to design integrative computational
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- “The influence of maritime industry activities on residents’ maritime culture awareness in the Greater Bay Area: A large language model (LLM) approach with panel data analysis”. Qualifications Applicants should
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the intersection of programming languages and artificial intelligence (PL+AI), in particular verification and large language models. Our main goal is to create a PL+AI system that is the best at verified program
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robust methods for training models, exploring/developing approaches for multimodal data, utilize context beyond pixel level, and efficiently use self-supervision for large unlabeled data sets. You will
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model complex brain data. The ideal applicant will have expertise in either systems neuroscience or NeuroAI/machine learning, particularly in analysis of large-scale neural data. The group places a strong
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. Technical Skills: Proficiency in medical statistics, data science, and applications across various domains. Skills in processing and analyzing large datasets, data wrangling, visualization, big data analysis