Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
3,800 employees, and 115 different study programs in the fields of the humanities, social sciences, natural sciences, health sciences, and engineering. Its main campus is located in Odense, the third
-
evaluate novel delivery systems for mRNA vaccines for buccal delivery Study physicochemical properties of different delivery systems and applying these for microneedle devices Investigate target cells and
-
Assistant Professor Nicolas Ubrig (ubrig@mci.sdu.dk ). If you experience technical problems, please contact hcm-support@sdu.dk. Application procedure Before applying the candidates are advised to read
-
pointed out that different levels of ambiguity or ambiguity aversion affect households' decision-making. Empirical research on the effect of ambiguity on the financial decisions of households is still
-
procedure Before applying the candidates are advised to read the Faculty information for prospective PhD students and the SDU information on how to apply . Assessment of the candidates is based
-
experience with: Signal processing Experimental design and data analysis Furthermore, the successful candidate is expected to: Have excellent knowledge of English (written and spoken). Have high self
-
Training: Conduct Silvaco TCAD simulations (fabrication processes, device modeling, and circuit-level simulations) . Experimental Work: Participate in cleanroom processes, device fabrication, and electrical
-
transcription factor in most cancers, where it cooperates with many different protein complexes to activate diverse pro-tumorigenic pathways. Together with a senior postdoc in the lab, you will lead a research
-
study at the Faculty of Health and Medical Sciences is available at the Graduate School’s website: https://healthsciences.ku.dk/phd/guidelines/ Application procedure Your application must be submitted
-
industrial processes. Your research will drive a paradigm shift in how TES systems are modelled, integrated, and controlled within industrial settings. You will develop novel, adaptive, physics-informed models