Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
experience in designing, understanding, or engineering large AI models or their applications. Current PLI projects involve work with language, images, multimodal data, science/math, code, and scientific data
-
nanotechnology. ISSP UL is an active participant in Horizon Europe, ERDF, and international R&I programmes, and maintains strong industrial partnerships across Europe. More information: https://www.cfi.lu.lv https
-
, including Bayesian designs, pragmatic trials, hybrid-type studies, clustered designs, de-centralized trials, and rapid cycle research to support learning health systems. High-dimensional data, including
-
clusters within our data centres, ensuring optimal performance and reliability. Strategy Development: Develop, execute and evangelize GPU strategy which considers platform, architecture, security and
-
AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 3 months ago
employment opportunities to those of all backgrounds and identities. For more information about staff equity at ANU, visit https://services.anu.edu.au/human-resources/respect-inclusion Application information
-
offered provide access to challenging and interdisciplinary projects integrated into large national and European research consortia such as the DAPHNE (DAta for PHoton and Neutron Experiments) NFDI
-
interdisciplinary projects integrated into large national and European research consortia such as the DAPHNE (DAta for PHoton and Neutron Experiments) NFDI consortium and the Cluster of Excellence "Machine Learning
-
Cluster at the School of Engineering, focused on developing next-generation, data-driven frameworks that improve the resilience and sustainability of renewable energy systems and infrastructure. In
-
Website https://www.timeshighereducation.com/unijobs/listing/404686/postdoctoral-associ… Requirements Additional Information Work Location(s) Number of offers available1Company/InstituteNEW YORK UNIVERSITY
-
remains robust, scalable, and efficient. Some of the duties include: Internal GPU Infrastructure Management: Oversee the setup, configuration, and maintenance of large-scale GPU clusters within our data