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predictive machine learning models for track and vehicle degradation using cutting-edge deep machine learning, and will integrate these into MoniRail's real-time monitoring system to deliver intelligent, data
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scales, lubrication and wetting, biophysics as well as machine learning or metamaterials. For experimentalists, we particularly interested in applicants aligned with our existing research infrastructure
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, including solid-liquid interfaces, rheology, fluid dynamics across scales, lubrication and wetting, biophysics as well as machine learning or metamaterials. For experimentalists, we particularly interested in
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Electrical Engineering or Fluid Mechanics. We welcome applications from those with research and teaching interests in the broad field of electrical engineering, power electronics, machines and drives. We
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engineering, power electronics, machines and drives. We are particularly eager to hear from candidates working in experimental electrical engineering research, or in fluid mechanics with applications associated
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scales, lubrication and wetting, biophysics as well as machine learning or metamaterials. For experimentalists, we particularly interested in applicants aligned with our existing research infrastructure
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computationally demanding research. Join us and: Provide HPC & Cloud facilities and support the people who use them to: Run large- or small-scale simulations, data analyses and machine learning workloads Have the