113 structural-engineering "https:" "https:" "https:" "https:" positions at University of Southern Denmark in Denmark
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, software engineering (software product lines), human factors in security and privacy, post-quantum and embedded cryptography, and quantum programming languages. We are looking for new colleagues who can
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. A collaborative and supportive work environment that encourages innovation and creativity. Opportunities for professional growth and leadership. Access to state-of-the-art technology and resources
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Job Description A PhD position is available at the University of Southern Denmark (SDU) in the Software Engineering section of the Maersk Mc-Kinney Moller Institute (MMMI). The successful candidate
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initiatives, as well as a wide range of research-related tasks such as qualitative data collection and analysis as well as writing academic publications. More information on “Digging for the Climate”: https
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Statistics section, include: Algorithms , focusing on online and approximation algorithms, graph and parameterized algorithms, string algorithms, data structures, combinatorial optimization, algorithmic
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be possible after two years of appointment. Read more about our current research areas within Pharmacy: Drug transport and delivery: https://www.sdu.dk/da/forskning/kemi-farmaci/forskningsomraader/drug
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motion control. The successful candidate will support the fabrication and characterization of hybrid colloidal nanoparticle structures, including gold and silver nanoparticles, using capillary-assisted
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Job Description Location: SDU Sønderborg, Faculty of Engineering The Centre for Industrial Mechanics, part of the Institute of Mechanical and Electrical Engineering, University of Southern Denmark
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of various greenhouse gases. Finally, how to harness microbial microorganisms for sustainable technologies of the future with geo- and bio-engineering strategies. About SDU The University of Southern Denmark
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, circuit discovery, activation patching, and representation engineering, with a focus on compositional structure in learned representations, as well as testing universality across models and languages