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with in-depth knowledge of parallel programming (GPU, multi-threading, etc.). - Familiarity with standard collaborative development tools: Git, GitHub, CMake, Guix-HPC, Spack, GTest, CTest, etc
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. The successful applicant will be expected to teach both undergraduate and graduate courses in Psychology and Neuroscience, and to establish an active, internationally-recognized research program. To
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phlebotomy. Additionally, the GPU is home to the GI Division's Motility program offering short and long motility studies, Bravo, Impedance Probes and EndoFlip diagnostic tests. The GPU is also home to
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when there are legal requirements, such as a license, certification, and/or registration. Additional Requirements: 1. Programming & data: Python (numpy/pandas), basic R (Seurat/tidyverse), bash; Git
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information about the lab check out: https://www.moorelabstanford.com/ . About the role: The role will be in-person with hybrid flexibility and is a perfect opportunity for someone looking for a 1-year, fixed
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data from the European XFEL facility at DESY. Project website: https://www.mpinat.mpg.de/628848/SM-Ultrafast-XRay-Diffraction Your profile Eligible candidates have strong skills in computational
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fields, applying advanced techniques such as large-scale data processing and GPU-accelerated computing. Access to state-of-the-art research facilities and a new GPU cluster. Collaborative and inclusive
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Deadline 2 Apr 2026 - 00:00 (UTC) Country United Arab Emirates Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is
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part of the core PLI team, which includes top-tier faculty, research fellows, scientists, software engineers, postdocs, and graduate students. Fellows will have access to the AI Lab GPU cluster (300
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options Employee and dependent educational benefits Life insurance coverage Employee discounts programs For detailed information on benefits and eligibility, please visit: http://uhr.rutgers.edu/benefits