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Field
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computing environments and GPU computing. Proven experience in weather and climate models development and applications. Experience in machine learning, deep learning, or AI applications for atmospheric
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with leading machine learning frameworks and modern AI environments, including multi-GPU model training and large-scale inference on dozens to hundreds GPUs, are required. Additional Qualifications
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(e.g, TIRF, PALM, FCS) to studies of human retrovirus particle biogenesis. Postdoctoral Fellow - Cryoelectron Microscopy & Human Retroviruses Postdoctoral Fellows are sought to join an interdisciplinary
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Fellow position as part of an NSF-funded project focused on understanding the relationships among particle geometry, packing structure, force transmission, and mechanical properties in dense assemblies
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propagation, low-energy switching, few-particle modulation of condensate nonlinearities, integrated polaritonic circuit functions, and coupling of polaritonic states with on-chip detection and readout
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the speed up from using GPUs as well as machine learning techniques, e.g. simulation-based inference. Finally, we will use similar techniques to make a statistical inference of the population of subhaloes by
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interpret high-resolution single-particle cryo-EM data Operate the cryo-EM microscope Produce biomolecular complexes by molecular biology techniques Optimize sample production and purification, as
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gamma ray production. Assist in development of Gamma Ray Spectroscopy (GRS) diagnostics and implement it on Plasma Focus Device in NIE/NTU. Work on plasma and charged-particle diagnostics on plasma focus
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plasmas. Run and analyse large-scale simulations; quantify particle/heat transport and turbulence statistics. Validate and interpret results with collaborators, and document outcomes in publications and
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performing data analysis to create a robust and reliable testing protocol. Key Responsbilities: Conduct a comprehensive literature review on food rheology, texture analysis, particle analysis, image analysis