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. 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
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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
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) 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
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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
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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
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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
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a citizen science component to gain a broader data foundation and raise awareness of the issue. The results will support management measures and policy initiatives to reduce plastic pollution
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. 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
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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
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-disciplinary teams. The preferred candidate has a strong interest in advanced manufacturing of mechanical and electrical products and competencies in applying life cycle assessment (LCA) data to derive decision