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is to use hierarchical structures, i.e. complex material layers that can be optimized to specific battery chemistries and flow phenomena from the microscale up. The developed technologies will be
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batteries (RFB), enabling affordable and durable long-duration energy storage. The approach is to use hierarchical structures, i.e., complex material layers that can be optimized to specific battery
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batteries (RFB), enabling affordable and durable long-duration energy storage. The approach is to use hierarchical structures, i.e., complex material layers that can be optimized to specific battery
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inactivation. Designing and optimizing multi-step and systems biocatalysis workflows, including flow chemistry and cascade reactions. Developing and applying modeling tools to evaluate kinetics, enzyme stability
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-largest contributor to global electricity growth. The holistic research investigating the optimal transmission configurations, sizing, control, and scheduling of cooling that is tailored to building
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analytical skills, including signal processing, statistical learning, optimization, deep learning, or information theory; Experience in programming, e.g., in C++, Python or Matlab. Qualification requirements
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, mathematics, computer science or similar; Solid mathematical and analytical skills, including signal processing, optimization, or information theory; Experience in programming, e.g., in C++, Python or Matlab
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the focus areas are stochastic optimization and equilibrium modelling in energy systems and markets. Position 1: PhD Project - “Optimisation of household demand response” The project aims to achieve
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will contribute to developing management and real-time operation tools to coordinate and optimize charging with PV production, while also enabling grid services. The study is further linked to two
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characterize waveguide devices and establish necessary theoretical background. Focus on the following areas: Design and characterization of photon pair sources in simple waveguide devices Optimization