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and analysis methods for realistic CO2 electrocatalysis, with a focus on parallel investigations and accelerated aging. Dissect degradation processes of CO2 electroreduction catalyst, electrodes, and
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of vector query processing, serverless/just-in-time query execution, parallel and distributed data management, and data management systems on emerging hardware Passionate about inventing, building, and
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and highly interdisciplinary research environment, bringing together expertise in theory, nanoparticle science, OLED technology, and organic chemistry. You will work closely with two ongoing PhD
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, implementation, and open-source release of the lab’s tools and artefacts Participate in the supervision of PhD and master students Profile PhD (or nearing completion of) in computer science or a closely related
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and highly interdisciplinary research environment, bringing together expertise in theory, nanoparticle science, OLED technology, and organic chemistry. You will work closely with two ongoing PhD
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The ideal candidate will collaborate closely with the PhD students while establishing a new line of research in the group The candidate is further expected to contribute to the teaching and supervision
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the ARIA programme, including red/blue team exercises and sprint reviews Profile PhD (or nearing completion of) in computer science or a closely related field Background in formal verification, programming
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lab members, the group's organoid/tissue-engineered infection models (airway, gut) to prioritize physiologically relevant hits Co-supervise PhD students and contribute to method development, data
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execution Analyze and interpret experimental results Write scientific articles for publication in peer-reviewed journals Present at international conferences Profile A PhD degree in the fields of chemistry or
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Profile PhD in microengineering, electrical engineering, mechanical engineering, applied physics, materials science, or a closely related field Strong hands-on experience in MEMS or micro/nanofabrication