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limited degree. The faculty determines the distribution of the various assignments. The weighting of the different assignments may vary over time. The successful applicant will be employed in accordance
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. During employment, the assistant professor will complete the Lecturer Training Programme . Employment will be in accordance with the collective agreement between the Ministry of Finance and the Danish
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Master of Science in Engineering and around 825 students are enrolled in our study programs. Furthermore, we also offer an ambitious PhD program. Our PhD students have high academic ambitions and deliver
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and around 825 students are enrolled in our study programs. Furthermore, we also offer an ambitious PhD program. Our PhD students have high academic ambitions and deliver high-quality results for both
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description You will be contributing to developing and implementing novel algorithms at the intersection of computational physics and machine learning for the data-driven discovery of physical models. You will
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19165 Post-Doctoral Fellowship in risk assessment and prioritization and remediation of dumped mu...
, plasticizers, chemical warfare agents, and their degradation products. In addition, our research examines the sources, transport mechanisms, distribution patterns, bioaccumulation processes, and transformation
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, plasticizers, chemical warfare agents, and their degradation products. In addition, our research examines the sources, transport mechanisms, distribution patterns, bioaccumulation processes, and transformation
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Are you interested in neuromorphic spintronic and can you contribute to the development of the project? Then the Department of Electrical and Computer Engineering invites you to apply for a one year
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on qualification requirements and job content may be found in the Memorandum on Job Structure for Academic Staff at Danish Universities . Salary depends on seniority as agreed between the Danish Ministry of Taxation
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substantial knowledge and research experience in areas such as computational fluid dynamics, turbulence modeling, data-driven methodologies, machine learning, and parallel computing. The candidate should also