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Field
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to work in the field of structural characterization of advanced materials using ex situ and in situ x-ray scattering and spectroscopy techniques. Required Qualifications PhD in Physics, Chemistry, or
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climate change. The research spans from small to territorial to planetary scales, all involving the modulation of matter in architectural or landscape construction. Current research projects include: (1
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for aircraft systems. You will integrate heterogeneous data streams (from multiple sources, such as sensory, physics model, etc.), flag impending failures, pinpoint and trace back the origin of system faults
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its Master of Computer Information Systems program and provides the program to online learners using this same “lecture capture” delivery model. The program has consistently been ranked as one
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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 algorithms
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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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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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algorithms Significant experience and publication on AI and image processing Experience with foundation models, explainable AI and/or efforts to translate AI to routine use are emphasized Highly motivated with
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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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significant research experience and deep familiarity with AI algorithms Significant experience and publication on AI and image processing Experience with foundation models, explainable AI and/or efforts