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model; (iii) database preparation; (iv) empirical analysis, including econometric estimation, structural model calibration, and simulations; and (v) preparation of the study manuscript in co-authorship
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Works Network to strengthen the wider evaluation ecosystem and promote the adoption of evidence-based interventions. See more at: https://www.kcl.ac.uk/policy-institute/about/edit About the role We
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contextual scenarios. Develop a unified multimodal detection pipeline that integrates video, audio, and text leveraging fine-tuned Vision-Language Models (VLMs) from WP3, supporting zero-shot reasoning and
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drugs, and related ontologies. • Design components of the AI pipeline for enrichment and reasoning over technical life sciences data using large language models (LLMs). • Manage the storage and retrieval
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Fellow to join an exciting interdisciplinary research programme. This is a unique opportunity to investigate mechanisms of cancer dormancy and develop predictive models of late recurrence in oestrogen
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programme Reference Number AE2026-0222 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2026-0222
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scattering theory, heavy-ion collisions and the properties of hot QCD matter, hadronic probes of beyond-the-Standard-Model physics, and formal developments in lattice QCD. IU Physics Department also maintains
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Water Systems Location Moscow Posting Context Statement Develops alternative futures and resilience pathways by translating model outputs into spatial and temporal scenarios for a regional testbed
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), one of Canada's leading neuroscience research centres. The successful candidate will develop next-generation human experimental models to investigate the cellular and molecular mechanisms underlying
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injury, and repair in experimental models of multiple sclerosis. Designing, implementing, troubleshooting, and optimizing experimental approaches. Developing and executing studies utilizing transgenic