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sought-after partner in both academic and public-sector collaboration. The research focus includes energy system optimization models, sustainable energy and climate transition, scenario analysis, and
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transition. This ambitious goal will be achieved by developing advanced experimental and computational tools to characterize e-fuel combustion processes, optimize fuel-flexible technologies, and integrate
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. This thesis aims to model, optimize, and experimentally validate such an optical ultrasound sensor based on resonant metasurfaces. The work will focus on three main areas: 1. Multi-physics Modeling: Development
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and optimize lymphoid organoid systems derived from iPSCs and primary human CD34+ cells Perform CRISPR screens targeting genes implicated in lymphocyte development Generate and characterize lymphocyte
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its inverse reconstruction. A key challenge is the data-driven design of the experimental setup: exploring how the choice of measurements and configurations can be optimized to extract the most useful
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confidence in the measurements and establish traceable validation routes. Optimize the methods for realistic converter operating conditions and communicate practical guidance to academic and industrial users
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to advancing ion-beam therapy by improving treatment precision and effectiveness. Our research focuses on optimizing dosimetry, enhancing beam conformity, and exploring novel irradiation approaches, such as
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Spatially fractionated Treatment Optimization) we are offering a PhD student position (all genders) – (part time 65%) Posting-ID 26.125 – 1530 While conventional therapeutic beam applications typically aim
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16th August 2026 Languages English English English The Department of Industrial Economics and Technology Management has a vacancy for a PhD Candidate position: Hybrid AI-Optimization for Dynamic and
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perception, optimization, or control will be an advantage. The candidate should be comfortable with scientific programming, for example in Python and common machine-learning frameworks such as PyTorch