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Field
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assessment, early health technology assessment, and/or medical innovation development • Health economic modelling with Markov cohort model/ discrete event simulation • Data analysis or data management using
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of immunology and RNA biology, and to carry out activities to develop our research expertise in mouse models, T cell immunity, molecular biology and multi-omics. You will collaborate within a multidisciplinary
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interests that span acute hemodynamic management, biomarkers for injury severity, and large animal modelling. Both the West and Kwon labs offer a highly-collaborative training environment for emerging
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-source energy market simulation model for operational planning JulES developed by the Norwegian Water and Energy Directorate (NVE). Secondly, the candidate will perform energy market simulations using
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interests that span acute hemodynamic management, biomarkers for injury severity, and large animal modelling. Both the West and Kwon labs offer a highly-collaborative training environment for emerging
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and modelling. The Postdoctoral Research Fellow will need to have the ability to conduct field studies on plot size assessments, outstanding analytical and problem-solving skills, research, design
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to apply advanced AI models in areas such as catalyst design, multi-scale modeling, and spectroscopic analysis. The Research Fellow will take on a significant role in machine learning theoretical energy
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software for modeling unprecedented electromagnetic phenomena, using languages such as C++ and Python Formulate new theories pertaining to EUV generation, obtained ab initio from Maxwell’s equations and
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circuit modeling, simulation, and layout design techniques. Proficiency with using relevant tools such as ADS, HFSS, Cadence and Matlab etc. Familiarity with RF/mm-wave transceiver architectures and
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management circuits and other related analog/mixed signal ICs. Development cycle including circuit design, simulation, modeling, layout, verification and measurements Design high power-efficiency RF power