Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
general planning of the PhD study programme, please see DTU's rules for the PhD education . Assessment The assessment of the applications will be made by Associate Professor Gunvor M. Kirkelund and
-
to maintenance Collect and analyze industrial case data in energy, manufacturing, or process sectors Develop conceptual and computational models linking operations and maintenance Validate frameworks in
-
, mathematics, computer science and biology. The department’s research thus contributes to new knowledge and solutions with applications in the areas of climate, environment, energy, and health. Application
-
degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . Assessment The assessment
-
, installation and efficient operation of affordable cooling solutions of buildings in hot and humid climates. The stipend is within the general study programme "Civil Engineering" is open from 15th February 2026
-
Master's program in Environmental Engineering and is involved in both the Bachelor's and Master's programs in Energy Technology and Integrated Design and Sustainable Product Development. For more information
-
. The successful candidate will be asked to apply to the PhD school, Faculty of Health Sciences, SDU for enrolment as PhD student. The PhD programme will be carried out in accordance with faculty regulations and the
-
PhD scholarship in Corrosion Mechanisms of Power Semiconductor Device and Components - DTU Construct
. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . We offer DTU is a leading technical university globally
-
fluorescently label CTCs, enabling precise isolation and downstream single-cell analysis. Using state-of-the-art Orbitrap mass spectrometry, automated sample preparation, and computational integration with
-
Neural Networks (SSM-SNNs). The project includes the co-design and integration of a RISC-V processor for hybrid neuromorphic computing. The research aims to develop ultra-low-power computing chips