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Field
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polariton propagation, low-energy switching concepts, few-particle modulation of condensate nonlinearities, integrated polaritonic circuit functions, and coupling of polaritonic states to on-chip detection
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theoretical and rheological investigation for ARC Centre Project S27b. You’ll explore how non-Newtonian suspension rheology governs ultrafine particle transport and gravity separation in inclined channels under
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systems, FPGA/RTL, and RF technologies, and CUDA coding for GPU acceleration is a plus. Strong leadership, communication, and documentation skills.
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research. BOLD also has access to national compute resources (3M GPU hours on Isambard for the first 1.5 years) and we are working hard to get to 5000 H100 equivalent compute capacity in total across
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directions within theoretical physics and astrophysics (including but not limited to theoretical astrophysics/cosmology, condensed matter theory, general relativity, particle/string theory, mathematical
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experiences on computer vision • Strong programming skills in using Deep Learning tools like PyTorch and GPU clusters. • Good written and verbal communications. • Open to Fixed Term Contract
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, or particle sizing software. Experience of designing, developing or refining experimental methodologies to generate reliable and reproducible data. Ability to maintain detailed and accurate laboratory records
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Processing Unit (GPU) hardware. Working Conditions Needs to be able to successfully perform all required duties. Office/research environment; some travel and weekend work is required. UTRGV is a distributed
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large astrophysical datasets (Gaia, future GaiaNIR, Roman, PLATO, the spectroscopic surveys 4MOST and WEAVE; contacts: Friedrich Anders, Josep Manel Carrasco) Analysis and modeling of solar particle
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of environmental factors of 60,000 subjects across multiple time points. Our research laboratory has great computing capacity, including multiple H100 and A100 GPU systems for deep learning, and computing clusters