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Field
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full ownership of their own research project. Responsibilities Design and execute LC-MS/MS-based proteomics experiments (primarily in negative ion mode) Independently operate and optimize chromatographic
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linkages based on numerical simulations and to transform them into AI- and ML-ready information to develop and implement an indirect inverse optimization framework to identify microstructures that exhibit
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on model surfaces In situ and operando (surface) X-ray scattering studies of catalyst/polymer interfaces Design, optimization, and testing/benchmarking of reactors for in situ and operando studies
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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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(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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-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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. 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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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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Optimization" and the PhD Student will be positioned to the section for “Applied Power Electronic Systems”. How to apply Your application must include the following: Application, stating reasons for applying and
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great extent. 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