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Field
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staff to deploy our simulation or algorithm pipelines on advanced computational infrastructure, such as High-Performance Computing systems. As many of the lab members actively contribute together
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Job Summary The research group of Prof. Ming Xie in the Physics Department at The University of Texas at Dallas invites applications for a postdoctoral position in theoretical and computational
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. Requirements: • Bachelor's degree in computer science or equivalent knowledge Desirable: • Knowledge and practical experience in areas such as algorithms, data structures, software engineering, artificial
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such as Neuro-AI, AI for Medicine, AI for Biodiversity, Systems Biology, and Algorithms. Develop strong links with partners across the Faculty of Science and Engineering — including Advanced Computing
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Code 9791GS Employee Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job The Geospatial/Remote Sensing Data Specialist preforms advanced remote sensing and geospatial data
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Term Division/Team: Department of Computer Science Hours Per Week: Full Time (1 FTE) Closing date (DD/MM/YYYY): 20/08/2025 Contract Duration: 36 months School/Directorate: School of Engineering We
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period of 6 months (starting November 1, 2025, with the possibility of extension up to a total duration of 12 months) Is the job funded through the EU Research Framework Programme? Not funded by a EU
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secondments. The project envisages the following secondments: a three-months secondment to learn novel algorithms form improving fecal MP samples' taxonomic and functional characterization (Prof. Bart Mesuere
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deep learning and generative AI approaches, creating synthetic virtual patient cohorts from multimodal datasets. Your work will involve designing advanced algorithms and high-throughput workflows
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/Statistics, Medical/Health Informatics. Strong computational and programming skills with abilities to develop cutting-edge large-scale machine/deep learning algorithms using high-performance computing (HPC