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to research to operation project funded by the National Oceanic and Atmospheric Administration (NOAA) under the National Weather Service (NWS) initiative. The Postdoctoral Research Fellow designs analysis
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for optical and electrical characterization, including fiber-based systems, free-space optics, and cryogenic platforms。 Perform data analysis and performance evaluation of integrated photonic devices and
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, Statistics, Physics, or a related quantitative discipline. You have demonstrated experience in mathematical modelling and or statistical analysis. You show a strong aptitude for research, supported by a sound
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partners. The PhD project is focused on quantifying the role of blowing snow in driving accumulation and sublimation in mountainous conditions using numerical models. The simulation of blowing snow in local
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. Design and implement strategies for multiplexed detection, enabling simultaneous analysis of multiple analytes from small sample volume; optimize sensor design and assay for high throughput analysis
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. Experience with numerical modelling of planetary atmospheres and radiative transfer, and with the analysis of space-based time-series and spectroscopic data sets (for example, from HST, TESS, or similar
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of Victoria, the University of Northern British Columbia and the UBC Southern Medical Program in Kelowna. Our Research Division conducts numerous internal and external projects that are recruiting participants
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communication skills with the ability to prepare technical reports and academic publications. Proficiency in job-specific technical skills, including programming for research and data analysis purposes (e.g. Python
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portfolio. You will be required to have strong organisational and data analysis skills. You will be expected to plan and conduct work using approaches or methodologies and techniques appropriate to the type
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neurophysiological experiments - mathematical analysis of the dynamics of neural networks - programming and numerical simulations of neural networks - development of quantitative model predictions and