Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
runtimes, memory managers, schedulers, accelerator kernels, isolation mechanisms, and distributed communication, which significantly increases their trusted computing base and attack surface, but also make
-
is available at https://colalab.ai/ . At EI, the group will develop an ambitious Generative Digital Biology (GDB) programme, developing multimodal, cross-organism and experimentally grounded AI systems
-
to substantial in-house H200 GPU infrastructure, further capacity through the Norwich Data Centre and routes to national-scale AI compute such as Isambard-AI. Collaboration with the Earlham Biofoundry will provide
-
of computer vision, pattern recognition, and image analysis: experience with biomedical imaging modalities is a strong asset Hands-on experience deploying and managing workloads in GPU-enabled High-Performance
-
Job Purpose Based within the University of Glasgow’s Centre for Data Science and Artificial Intelligence (AI), and working closely with Research Computing as a Service (RCaaS) teams, make a leading
-
, please visit: http://uhr.rutgers.edu/benefits/benefits-overview . Posting Summary The Rutgers Artificial Intelligence and Data Science (RAD) Collaboratory is seeking to appoint two highly motivated
-
Position Details Position Information Recruitment/Posting Title Lead Software Developer – GPU-accelerated Free Energy Simulation and Machine Learning Methods Department Quantitative Biomedicine Inst
-
graduate program and maintain the minimum number of credits (6 credits per semester) in order to hold a student position at the University of Minnesota and have expertise in the material covered by
-
Standard Hours per Week 40 Full Time or Part Time? Full Time Shift Day Work Schedule Summary VP Area Academic Affairs Department 00062 - School of Computing Location Campus City Salt Lake City, UT Type
-
PeopleSoft Seniority Unit Terms of Appointment Staff - 12 month Position Pension Eligibility ABP Qualifications Minimum Education and Experience Bachelor’s Degree in Computer Science, Engineering or relevant