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engineering practices for machine learning Tabular machine learning Large language models on structured and semi-structured data Research Associate Role: Under the direction of their supervisor, the candidate
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experience in one or more of: large-scale data analysis, time-series photometry, spectroscopy, astrometry, Bayesian/statistical inference, and/or software development for astronomical datasets. Department
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Centre. The postholder will work on a Wellcome funded project on the impacts of loneliness and social isolation on adolescents. The main duties for this role will be analysing existing large-scale data
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University of Massachusetts Medical School | Worcester, Massachusetts | United States | about 5 hours ago
modeling, or machine learning - Experience with large-scale genomic data analysis (e.g., GWAS, QTL, PRS, or multi-omics integration) Strong programming skills in R or Python; familiarity with Bayesian
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research. Your position Design, implement, and evaluate large-language-model (LLM) pipelines for synthetic data (fine-tuning, retrieval-augmented generation [RAG], prompt engineering). Plan and analyze
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Agency. The project aims to use energy and air quality modelling, indoor environmental quality data, large health data sets, and co-creation and engagement with schools and other stakeholders to provide
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- “Unveiling the hidden fees: The impact of information disclosure on the real estate market”. Qualifications Applicants should have: (a) an honours degree or an equivalent qualification; (b) advanced
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, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges the
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datasets, such as large-scale data, text as data, or satellite imagery (‘Big Data Economics’). The ifo Institute is one of Europe’s leading economic research institutes. Research at ifo combines academic
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We are seeking a Research Fellow – Statistical Data Scientist to join the Big Data in Health Group at the University of Southampton. The Fellow will work on a UKRI-funded project investigating how