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applications for a three-year PhD Stipend from October 1st or soon hereafter in dynamic modelling, simulation and optimization of Power-to-X processes for renewable fuel production. The project is primarily
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representations of physical assets and processes—are emerging as a key technology for improving operational efficiency, reducing downtime, and optimizing energy consumption in smart factories. This PhD project aims
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at cryogenic conditions: Many advanced technologies — like quantum computers, powerful microscopes, and chip-making tools — require extreme cooling. However, the optimal design of cooling systems at cryogenic
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suitable wireless link at any moment. In this PhD project, you will develop novel concepts for intelligent hybrid RF–OWC networks that optimize wireless service delivery in real time. Research topics include
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supervisor), Professor Ingunn Studsrød (co-supervisor), and Associate Professor Marina Snipsøyr Sletten (co-supervisor). Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/302556/phd
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fluorescence microscope optimized for imaging individual cells within microtumors. Through this work, the PhD candidate will receive hands-on training in the design, implementation, and optimization of a state
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-MID prototyping and performance optimization of structure-embedded sensors and nanogenerators. Depending on applicant’s skillset the research objectives may include implementation of AI-assisted in
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optimization of machine learning methods for processing Quantum OCT (Q-OCT) signals. Design, training, and testing of neural network architectures for artefact and dispersion removal in Fd-Q-OCT and SS-Q-OCT
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PhD thesis student (f/m) at ESRF and University of Bath to study CO₂ capture by coupling X-ray Raman
critical electronic changes governing CO₂ capture under realistic conditions, providing the essential scientific insights needed to design more efficient, durable, and optimized materials for fighting
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capable of predicting optimal PISA formulations and significantly reducing experimental screening efforts. The successful candidate will receive multidisciplinary training spanning polymer chemistry