Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
, Master, and PhD students. Qualifications The ideal candidate will have expertise in one or more of the following areas: Microbial ecology and environmental engineering Biological macromolecule production
-
research of high international quality. In your daily work, you will work closely with colleagues on your project, where you will receive supervision and guidance. Your main tasks will consist
-
Associate professor, associate researcher, or senior engineer (Including candidate from Hong Kong, Macao, and Taiwan) Specializations: Primary focus on: Optoelectronic information & AI New energy/connected
-
all qualified applicants, regardless of their personal background. Achieving gender balance within the Department of Linguistics, Cognitive Science and Semiotics is a primary goal, and we especially
-
education within the department’s scientific areas. We educate both Bachelor and Master of Science in Engineering and around 825 students are enrolled in our study programs. Furthermore, we also offer
-
responsible for research and education within the department’s scientific areas. We educate both Bachelors and Masters of Science in Engineering and around 1000 students are enrolled in our study programs
-
internal and external partners and in connection with external research funding publish original peer-reviewed research internationally and make scholarly contributions to developments within the field
-
; mepage.faculty.ucdavis.edu ). Simonsen will be the main advisor to the PhD student. Her research studies policies that directly or indirectly affect children’s outcomes and she is an expert on the Danish administrative data
-
approx. 60 full time scientific staff and 80 PhDs, students and post docs, with approx. 80 thesis-based Bachelor and Masters students and visiting staff and students, who together contribute
-
-year extension. The project is fully funded by the Independent Research Fund Denmark (DFF). The main objective of this project is to develop physics-constrained, data-driven turbulence models