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Fellow will have the opportunity to lead statistical analyses of large-scale clinical registry and administrative datasets. Some key skills required: A PhD in health data science, and/or relevant work
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, psychology, computer science or related field and some experience with environmental data and large data sets. Due to requirements of the funding source, must be a U.S. Citizen or U.S. Permanent Resident
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with large-scale biodiversity and environmental parameter samples. You will also produce educational training materials on the studies you conduct and publish in high-impact journals. You will develop
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, currently comprising 16 staff members, over 10 postdocs, and around 20 PhD students. Research in the group includes black-hole and neutron-star physics, gravitational-wave source modelling and data analysis
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4 PhD Fellows in Deep Learning at Visual Intelligence Research Centre and UiT Machine Learning Group
opportunities A large degree of independence in work Flexible working hours and a state collective pay agreement Pension scheme through the state pension fund PhD Fellows are normally given a salary of 550 000
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, currently comprising 16 staff members, over 10 postdocs, and around 20 PhD students. Research in the group includes black-hole and neutron-star physics, gravitational-wave source modelling and data analysis
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decentralised algorithms, meta-information data structures and indexing techniques to enable large-scale data search across Personal Online Datastores (pods) hosted on distributed pod servers, addressing both
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skills and attributes for success: A PhD (or equivalent) in a relevant subject (Artificial Intelligence, or Data Science), with training or skills relevant to the project (Python-based data collection and
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/Fellow who can deliver the research whilst helping to manage project delivery. Candidates must hold an appropriate social science degree level qualification and a PhD (or be about to obtain a PhD, which
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Postdoctoral Fellowship in AI and Large Language Models for Transforming Pediatric Healthcare The Computational Health Informatics Program (CHIP) at Boston Children's Hospital, affiliated with