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into frontrunner firms in the Danish fashion and textile industry (see https://vbn.aau.dk/da/publications/grøn-omstilling-i-den-danske-mode-og-tekstilindustri-virksomhedsb/ — available in Danish only), the premise
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human activities that push species to extinction and potentially disrupts ecosystem functionality. Our interdisciplinary lab will develop novel Graph Representation Learning models to understand and
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for teaching and research for the tenure track period CV including employment history, list of publications, H-index and ORCID (see http://orcid.org/ ) Teaching portfolio including documentation of teaching
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DTU Tenure Track Researcher in Neutron Spectroscopy - Uniaxial Pressure Studies of Quantum Materi...
and ORCID (see http://orcid.org/ ) Teaching portfolio including documentation of teaching experience Academic Diplomas (MSc/PhD) Applications received after the deadline will not be considered. All
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); contributes to SDC’s master programmes through teaching and guest lectures (Digital Innovation, research methods, computational methods, and case material from the candidate’s own fieldwork); contributes
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. The main activities include: Designing machine learning models that can detect unusual, unsafe, or attacked operating conditions. Developing data-driven models that capture how faults and attacks spread
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Intelligence, Cybersecurity, and Programming Languages (ACP) , an elite cluster of research groups that fosters collaboration, research excellence, and quality education. FORM and ACP offer ample opportunities
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in time. As part of the PhD study, you are among other things required to complete PhD courses corresponding to 30 ECTS, gain experience with teaching or other forms of knowledge dissemination and
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of application (max. one page). CV incl. education, work/research experience, language skills and other skills relevant for the position. A certified/signed copy of a) PhD certificate and b) Master of
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positioned in the Esbjerg section of AAU Energy. The expected activities should include: Develop the design basis for flexible power cables considering operational and extreme loads and prevailing failure