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anomalies in evolving graphs. In this research proposal, our aim is to explore the parallels of deep learning and anomaly detection in dynamic graphs. In particular we are interested to redesign deep neural
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Python and C/C++. Expertise in ensemble learning (e.g., Random Forests, Gradient Boosting, bagging/stacking frameworks). Hands-on experience with parallel or GPU-based computing (CUDA, OpenCL
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the biology of lung tumour evolution based around analysis of next generation sequence (NGS) data and the tumour microenvironment from the TRACERx longitudinal lung cancer program. Our aim is to trace
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will encourage their implementation, especially by using parallel computing. * Assigned department Existing departments [Work location] * Address 606-8501 Kyoto Minato Laboratory, Graduate School
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Project Description The next generation of signal processing, computing and artificial intelligence (AI) technologies will be unlocked by the close integration of electronics and photonics
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Posting Description SENIOR ARCHITECT AND TECHNICAL LEAD - OPEN PORTABLE INTEGRATIONS FOR AGENTIC RESEARCH COMPUTING, MA Green High Performance Computing Ctr, to serve as the technical lead and
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) Zhongtian Sun (School of Computing, University of Kent) Aligned programme of study: PhD in Network Science Northeastern University London As part of a major investment, Northeastern University London (NU
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Job Status Full-time Offer Starting Date 2 Nov 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research
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ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI INGEGNERIA DELL'ENERGIA ELETTRICA E DELL'INFORMAZIONE "GUGLIELMO MARCONI" | Italy | about 2 months ago
- 23:59 (UTC) Country Italy Type of Contract To be defined Job Status Not Applicable Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to
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-SofT project, the recruited person will: - design novel algorithm for large-scale block-sparse tensor computations that are suited for massively parallel accelerated supercomputers. - investigate the use