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Field
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computation, GPU and differentiable programming, or AI-assisted scientific software development. The postholder will also develop GPU-accelerated Bayesian inference methods, including nested sampling, publish
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turbulent flow simulations. 3. Background in numerical methods and scientific computing. 4. Proficiency in Python programming and high-performance computing on modern GPU-based platforms
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and ethically. Its core is a studio of high-performance GPU workstations hosting open-source models locally (image, video, audio and language) where staff and students can see, adjust and interrogate
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Classification Title: Postdoctoral Associate Theoretical and computational quantum information Classification Minimum Requirements: Ph.D. in Physics, Computer Science or closely related areas Job
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scalable training and inference on parallel, distributed and GPU-accelerated computing systems Benchmark the developed approaches against established methods, assessing predictive performance, generalisation
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environments, including job scheduling, resource allocation, data movement, storage, and scalable GPU-enabled computation Required Qualifications Educational Requirements Ph.D. earned within the last five (5
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description A call for applications is open for 2 Research Grants within the scope
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potentials or force fields (for example MACE, NequIP, DeePMD). ● Experience running scientific calculations on Linux-based high-performance computing clusters, including scripting or workflow automation
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CUDA kernels and/or Triton, and inference engines (vLLM, SGLang, et cetera). Experience coding with deep learning libraries such as Pytorch/JAX is essential. Applicants must hold a PhD in computer
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Flatiron Research Fellows are expected to carry out an active research program that is independently directed and is encouraged to involve substantial collaboration with other members of the CCA