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Climate Research (CICERO, Norway) will work together to will address challenges in separating SRM signals from other factors, improving climate models, and attributing climate responses of SRM
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is essential. Experience in working with clinical samples. Ability to communicate complex information clearly. Fluency in relevant models, techniques or methods and ability to contribute to developing
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complex multiphysics problems, and want to drive meaningful change through research - this might be the role for you! This is your opportunity to work on high-impact projects—from modelling fluid flow in
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combination of in-situ and remote sensing observations, as well as climate and snow models of varying complexity, the impact of blowing snow on local and regional scales. The PhD candidate will produce mass
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, internationally recognized for its high-impact research, investigates new techniques and technologies for engineering advanced biomaterials and complex 3-dimensional (3D) tissue models applied to musculoskeletal
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laws. Essential Functions • Working with muscle models to identify the potential mechanism of chronic pain caused by myofascial pain symptoms. • Performing clinical testing and with various study
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model of flare vs remission with a 50% relapse rate. Initial data analysis has taken place using the 10x Chromium single cell sequencing identifying putative cellular subpopulations that determine
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of blowing snow in driving accumulation and sublimation in mountainous conditions. The simulation of blowing snow in local and regional climate models is poorly constrained, leading to uncertainties in
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device data, medication data and adherence data. Application & interview 6 Statistical programming expertise in either Stata or R, including complex statistical models (i.e. longitudinal analysis
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capability Ability to communicate complex information clearly Fluency in relevant models, techniques or methods and ability to contribute to developing new ones Ability to assess resource requirements and use