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of the art in mathematical and numerical modelling of CO2 storage? This might be the right position for you! About the project/work tasks: About the project TIME4CO2 TIME4CO2 aims at advancing simulation
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the most relevant information of the data to make a prediction using advanced mathematical tools. This insight opens the door for enjoying the real world. The candidate further develops efficient and robust
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advanced systems for particle identification at low and intermediate momentum. This particularly involves the study of rare signals, including particles containing heavy quarks ("heavy flavours
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) and economics (or related fields). Applicants must have experience in one or more of the topics: Model-predictive control Numerical optimization Econometrics Virtual power plants Power systems and/or
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) period—primarily driven by natural climate variability—with contemporary retreat patterns influenced by anthropogenic climate change. The research will combine advanced remote sensing techniques with ultra
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capillary flow, drop impact, and wetting in fibrous networks. The PhD research fellow will design droplet flow experiments on fibers and focus on droplet accumulation on fibrous structures when exposed to fog
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sciences or medicine, with a proven track record of cardiac research Previous experience with molecular cardiology, viral transduction, cell transfections, animal models, immunoblotting, qPCR, cardiomyocyte
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complex patient pathways. The project will consist of three studies: Mapping and modelling of interaction patterns in different patient pathways (e.g. stroke, cancer, elderly care). The objective is to map
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of Oslo. Job description A fully funded PhD position is available on the development of spatiotemporal statistical modelling of climate-sensitive infectious diseases, with a particular emphasis on Bayesian
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for understanding foundational issues in quantum theory, and more recently, the structure of observable algebras in quantum field theory. This project looks at time observables as quantum reference frames of both