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solutions, focusing on building robust data pipelines, creating efficient machine learning models, and integrating AI capabilities into existing systems to improve efficiency, accuracy, and service quality
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research positions in the field of atmospheric aerosol modeling. Positions may begin as soon as September 2025 . A Ph.D. in Mechanical and Aerospace Engineering, Civil and Environmental Engineering
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Type: Hybrid Eligible Sponsorship Eligibility: Not eligible for visa sponsorship Salary: Salary commensurate with education and experience Restricted: Yes Criminal Background Check: Yes About the
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cultivating collaboration, enthusiasm, and mutual respect. The team provides patient care and supportive services utilizing the Nursing Professional Practice Model. Care is directed towards the achievement
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DEVCOM Analysis Center. Topics of particular interest include: 1. Development of novel machine learning and AI models, as well as the adaptation of existing approaches for AI-enabled decision aid systems
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at a scale few others can match. Connections working at The Ohio State University More Jobs from This Employer https://main.hercjobs.org/jobs/21930114/post-doctoral-researcher Return to Search Results
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 7 hours ago
consistent and usable form, the student will work on building a unified dataset that supports different types of modelling tasks. This includes creating derived features (e.g., daily profiles, peak indicators
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a broad community. The scope of the work builds on recent publications from the laboratory, e.g. integrating language models with mass spectrometry data (https://www.nature.com/articles/s42256-021
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, previous models have struggled to generalise beyond the hospital they were trained on. We believe that generative pre-training offers a promising path to a new class of models that work across settings and
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the Department of Applied Health Sciences and will support the delivery of the NIHR Research Professorship awarded to Professor Joht Singh Chandan (NIHR306365, https://fundingawards.nihr.ac.uk/award/NIHR306365