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Application Deadline 15 Sep 2025 - 23:59 (Europe/Lisbon) Type of Contract Not Applicable Job Status Not Applicable Is the job funded through the EU Research Framework Programme? Not funded by a EU programme
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parallel computing systems. Familiarity with git and GitHub. Experience building pipelines for the processing of medical images. Fluency in Python programming language. Familiarity with Bash. Excellent
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(MRI). The research will be of practical relevance to current societal challenges related to education and health. The C-LaBL Mentorship Program will provide a comprehensive training scheme to a
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parallel programming; and tracking the use of HPC resources and the resulting research outcomes and publications. verall, the position provides leadership and guidance on facilitation services and reports
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 15 days ago
; strong physical, mathematical, and computational background; experience with programming in at least one general-purpose language (preferably Julia) and parallel computing; demonstrated effective written
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 5 hours ago
beautiful campus, world-class medical care, commitment to the arts and top athletic programs, Carolina is an ideal place to teach, work and learn. One of the best college towns and best places to live in
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. The Department has grown substantially in the past 15 years, from 40 to 150 faculty in parallel with the remarkable growth of our hospital-based affiliated systems. Our work is evidence based and focused
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current practice). Demonstrated expertise in AI/ML. Proven track record in application performance optimization. Advanced experience with parallel programming models (e.g., OpenMP, MPI, CUDA). Extensive
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, pursuing their own research project during the mobility period, parallel to joining a research group and having a host supervisor at Lund University. For information about eligibility and selection criteria
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; strong physical, mathematical, and computational background; experience with programming in at least one general-purpose language (preferably Julia) and parallel computing; demonstrated effective written