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11.07.2022, Wissenschaftliches Personal The professorship “Big Geospatial Data Management” is seeking to fill two research assistant (E13) positions to support research activities around geospatial
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Apply now Job no:511514 Work type:Casual Location:Sydney, NSW Categories:Tutor, Lecturer, Other, Demonstrator The Centre for Big Data Research in Health within the Faculty of Medicine & Health is
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and Innovation rates Payment of university tuition fees The budget for project costs is £9,000 which can be used for computer, lab, and fieldwork costs necessary for you to conduct your research
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 23 hours ago
to contribute to innovative projects at the forefront of healthcare delivery improvement, leveraging Large Language Models (LLMs) and clinical data analysis. About the Position Our Postdoctoral Research Program
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Job Details Please note: all position postings close at 12:00 A.M. CST on the position closing date Administrative Assistant Working Title Large Animal Ambulatory Veterinary Technician Position
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large-scale data support and interactive visualization. Integrate the software into the Galaxy framework. in brief: R software development contribute to Bioconductor and Galaxy opportunity to work with
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The appointees will assist the project leader in a large language model (LLM) research project – “Enhancing aspect-based sentiment analysis: embracing multilingual and multimodal dimensions with large language
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the area of efficient and interpretable machine learning systems. The successful candidate will work on projects involving ensemble learning, large-scale data analytics, and high-performance model design
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community, including the Big Red 200 and Quartz high performance computing systems and on-premise cloud computing resources. The Research Applications and Deep Learning team is seeking a Part-Time Software
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model complex brain data. The ideal applicant will have expertise in either systems neuroscience or NeuroAI/machine learning, particularly in analysis of large-scale neural data. The group places a strong