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Field
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(HPC) platforms used in machine learning, big data and artificial intelligence (AI) based applications (CPUs, GPUs, AI accelerators etc.) require high power demands with optimized power distribution
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of automotive engineering. Design, testing, and evaluation of vehicle components and systems. Application of numerical methods (FEM, MBS) to analyze static and dynamic load states. Execution of experimental
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project position is the design and numerical simulation of quantum-dot-based single-photon sources using advanced optical simulation tools. The objective of the PhD2 project is the microfabrication
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for its strength in optimization, optimal control, dynamical systems, and applied mathematics in general. Mobile working A certified (Audit berufundfamilie) family-friendly work environment. Berlin is one
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quantitative image analysis, numerical modeling, and explainable AI (XAI) with state-of-the-art biophysical methods. Using techniques such as traction force microscopy, microfluidics, 3D bioprinting, and
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communication networks? Optical wireless links using highly directional steerable laser beams can securely serve a high density of devices at high data rates. Your project optimizes energy efficiency and develops
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environmental conditions - Optimize material formulations for scalability and field deployment Candidate Requirements: We are seeking a highly motivated candidate with: - A background in civil engineering
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optimize composite materials that can significantly enhance the efficiency of wastewater purification processes by leveraging the piezocatalytic phenomenon an emerging technology with great potential
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open to Home Students. Background: Detecting deception is an important but challenging task for numerous organizations worldwide including in the UK (e.g., Probation Service, Police). Whilst there are
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the innovative use of piezocatalysis. The successful candidate will engage in cutting-edge research to understand, design, and optimize composite materials that can significantly enhance the efficiency