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the analysis of skills gaps, labour market needs, and key sector requirements through stakeholder consultations, workshops, surveys, and multilevel engagement processes involving public authorities, emergency
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foundation models. Standardize and harmonize complex healthcare data using clinical interoperability frameworks such as the Observational Medical Outcomes Partnership (OMOP) Common Data Model. Collaborate with
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Biological Station (IRBS), to assist with IRBS database harmonization and construction to build a central data repository capable of serving several ecological modeling and inferential needs. Using ecological
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-based AI for multidisciplinary tumor boards. The successful candidate will develop LLM-based pipelines, semantic harmonization, and transformer-based temporal models on a large multimodal oncology dataset
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support activities related to the collection, harmonization, and analysis of data on Invasive Alien Species (IAS). Responsibilities include contributing to the integration of information from major IAS
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-based economic forecasting. The position is available as soon as possible for an initial duration of six months. The project aims to build a harmonized macroeconomic reanalysis dataset that combines
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-based analysis of research data as a meta-domain and discovery of relevant datasets through both graph search and guided browsing through relationships. Along with Yale managed datasets, these will also
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publication projects Application of statistical methods and advanced algorithms for the analysis and interpretation of research data Visualization and presentation of analytical results for scientific
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projects Application of statistical methods and advanced algorithms for the analysis and interpretation of research data Visualization and presentation of analytical results for scientific publications
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accounting concepts, Generally Accepted Accounting Principles, and other guiding concepts with developing proficiency. Uses information and requests received from a portfolio of RRCs to prepare analysis