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with animal models of disease are major requirements. Ability to work in a structured and independent manner. Good communication skills and high proficiency in English. Good collaborative and social
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competences on electrochemistry, atomic scale and multi-physics modelling, autonomous materials discovery, materials processing, and structural analyses. We also focus on educating engineering students at all
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change (sea level rise and increased storminess in Northern Europe), coastal erosion is expected to potentially worsen. State-of-the-art practical engineering models for predicting sand and particle
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that integrate state-of-the-art Large Language Models (LLMs) with novel logic-based multi-robot planning algorithms. This work will be evaluated through simulations and with physical drones in mock search-and
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to contribute to fundamental advances in solid-state physics, while applying luminescence-based techniques to pressing questions in Earth system science. The positions are funded by the ERC Advanced
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empathic person with a PhD degree in mechatronics engineering, MEMS, neurotechnologies, applied physics, nanotechnology, neural interfaces, biomedical engineering or similar. Advanced skills in electronics
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but indeed it will be guided by advanced AM simulations. The latter being the responsibility of other participants of the MicroAM project. Responsibilities and qualifications For 316L, our
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unique opportunity to contribute to fundamental advances in solid-state physics, while applying luminescence-based techniques to pressing questions in Earth system science. The positions are funded by
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) and the computing continuum eras. Our vision is to pioneer advancements in high-tech distributed and embedded systems technology, driving change, and contributing positively to society. We strive for a
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molecular immune-related differences between patients with varying treatment responses using advanced profiling techniques (flow cytometry and RNAseq incl. scRNAseq). Further, we aim to establish in vitro and