Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
level and to gain a better understanding of their underlying drivers. The goal of the project is to provide detailed information on the causes of subnational population changes to help inform public
-
scientific backgrounds, including electrical engineering, industrial engineering, operations research, data science, and applied mathematics. Many of our former students are now successful scientists in both
-
. The successful candidate is expected to utilize the data resources affiliated with the center, and in this case in particular the dialect archives and collections at NorS. Depending on the successful candidate’s
-
master's degree. Approval and Enrolment The scholarship for the PhD degree is subject to academic approval, and the candidate will be enrolled in one of the general degree programmes at DTU. For information
-
areas, based on data from an existing survey that will explore their workload, job satisfaction, family dynamics, work-life balance and challenges faced in providing care. Key Responsibilities: Conduct
-
) OpenFOAM (beneficial, not required) Strong analytical and problem-solving skills. Further information Further information may be obtained from Professor David R. Fuhrman (drfu@dtu.dk ). Application procedure
-
information For further information about the position, the Morality of Extreme Wealth project, and the SDU Philosophy Section, feel free to contact Associate Professor, Lasse Nielsen (lasseni@sdu.dk
-
of samples. To apply and further optimize data analytical workflows. A comprehensive database will be created, documenting the key chemical and physical properties of advanced bio-oils. The qualified applicant
-
. Responsibilities The role in AM2PM, an EU funded research project, involves conducting innovative theoretical and experimental research in Building Information Modeling (BIM), Digital Twin Construction (DTC
-
in functional genomics methods (e.g., single-cell and bulk RNA-seq, ATAC-seq and ChIP-seq) and computational data analysis is considered highly advantageous. Selected references: Jakobsen et al., 2024