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- 
                Field
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                -getalp.imag.fr/ ), which offers a dynamic, international, and stimulating environment to conduct high-level multidisciplinary research. The person will have access to large datasets, GPU servers, means 
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                the computer science research conferences. Qualifications: PhD in computer science with file systems, GPU architecture experience. Proven ability to articulate research work and findings in peer-reviewed proceedings 
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                other scalable approximations. Experience running large-scale computations on supercomputers (e.g., SLURM job scripts, GPU acceleration, MPI communication). Notes: This is a full-time, 2 year 
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                approximations. Experience running large-scale computations on supercomputers (e.g., SLURM job scripts, GPU acceleration, MPI communication). Notes: This is a full-time, 2 year, postdoctoral appointment with 
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                projects at CASS. The center fellows will have access to a 70,000-core Infiniband Cluster (Jubail) dedicated to the science division, several GPU-based clusters at NYUAD, and other supercomputer facilities 
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                (Jubail) dedicated to the science division, several GPU-based clusters at NYUAD, and other supercomputer facilities through the CASS network. NYUAD also has guaranteed observing time on the Green Bank 
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                and optimize large-scale training and inference runs for foundation models on JUPITER (multi-GPU/node, mixed precision, parallelization, I/O optimization) Integrate multimodal data sources (e.g., scRNA 
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                framework and implemented on our research scanners for pre-clinical trials and validation at the University of Copenhagen using GPU processing. Qualifications Candidates should have a PhD degree in electrical 
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                responsibility for our unique GPU-accelerated 3D FDTD software suite and extending its capabilities Modelling the effects of atmospheric turbulence fields Software development (3D modelling and coding in Python, C 
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                the team You will join the Thermal NDE Research Team within the Department of Computer and Information Sciences. The group hosts state‑of‑the‑art IR cameras, induction coils and GPU‑accelerated