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Field
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#CA-DS The Technician staff are responsible for drug storage, preparation and distribution of medications throughout UCDMC under the supervision of a pharmacist and perform maintenance and inventory functions. The Technician staff fill first doses and batch doses for both IV and UD medications,...
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 4 days ago
publication record in biomolecular modeling and computational biophysics/chemistry. Programming skills (e.g., bash scripting, python, Fortran, C++ and CUDA), expertise in computational modeling (such as
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 23 days ago
research experience; strong proficiency in Python and C++, with deep familiarity with AI/ML frameworks (PyTorch, TensorFlow, JAX); hands-on experience with GPU programming models (e.g., CUDA, HIP, or OpenCL
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models (e.g., CUDA, HIP, or OpenCL); experience with performance profiling and benchmarking tools on Linux-based High-Performance Computing systems; excellent communication skills; ability to collaborate
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for reproducible HPC environments. Experience with CUDA-level optimization or debugging hardware-specific performance differences. Basic knowledge of protein structure, folding, or biophysics. Physical Demands
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, Cloud Service Deployment). Desired: Experience with High-Performance Computing or GPU programming (CUDA). Specialized knowledge of Neural Rendering (NeRF/3DGS) or Satellite Photogrammetry. Demonstrated
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at least two related publications. Proficiency with core HPC programming languages and paradigms, including C/C++, Fortran, and MPI. Proficiency in GPU-accelerated HPC programming, with emphasis on CUDA and
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-field code, written in the Cuda C language and parallelized on a single GPU (Graphical Processor Unit). A parallelization on multiple GPUs would be a welcome development during the thesis. Where to apply
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Python, with experience in modern software development environments (Linux, Docker, Cloud Service Deployment). Desired: Experience with High-Performance Computing or GPU programming (CUDA). Specialized
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at the Secret level or higher and may be subject to a government background investigation to upgrade clearance eligibility, if required Preferred skills/experience areas include: Python, C++, CUDA, time-series