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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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) 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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) 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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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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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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in Tromsø. You must be able to start in the position within a reasonable time after receiving the offer. The project The position’s objective is to advance sea ice remote sensing research in one
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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
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contemporary retreat patterns influenced by anthropogenic climate change. The research will combine advanced remote sensing techniques with ultra-high-resolution analyses of lake sediments to reconstruct glacier
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structure of observable algebras in quantum field theory. This project looks at time observables as quantum reference frames of both quantum mechanical and quantum field theoretic systems, described by