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Field
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-following inverters. Implementing and optimizing scalable algorithms for transient and stability analyses on HPC architectures (CPU, GPU, hybrid). Enhancing the numerical robustness and efficiency of existing
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biodegradability. You’ll systematically study the impact of molecular structural parameters on material properties and biodegradability (‘structure-degradation correlation’). You’ll also optimize light source
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on the efficiency of the grazing process, the performance of the herbivores and the health of the grasslands. As theorized by Charnov & Orians, herbivores are optimal foragers able to consume forage at higher rates
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. Computational modeling and data-driven analysis will be used to guide material selection, molecular design, and performance optimization. Experimental input will be limited and used selectively for validation
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(e.g., model compression/simplification and hardware-aware optimization). We are also interested in how resource-efficiency interacts with broader sustainability aspects of machine learning such as
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. The position is offered in relation to the research program "Power Electronic Control Reliability and System Optimization" and the PhD Student will be positioned to the section for “Applied Power
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"Power Electronic Control Reliability and System Optimization" and the PhD Student will be positioned to the section for “Applied Power Electronic Systems”. How to apply Your application must include
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devices Optimization of waveguides for photon pair sources Design and characterization of sources of entangled quantum states. SiCPIC PhD student Qualifications Candidates must have a two-year master's
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–2 years, total 3–4 years) on data-centric research for foundation models. This project investigates how to optimize training data shaping foundation model capabilities - including data curation
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. This includes research on the optimal lithography process. Here, piecewise interference lithography will be investigated, the so called SMILE-process (Stepped Mask Interference Lithography Exposure). Objectives