Sort by
Refine Your Search
-
Listed
-
Program
-
Employer
- Technical University of Denmark
- Nature Careers
- University of Southern Denmark
- Aarhus University
- University of Copenhagen
- Aalborg University
- ;
- ; University of Copenhagen
- ; Technical University of Denmark
- ; University of Aarhus
- ; University of Southern Denmark
- Copenhagen Business School , CBS
- European Magnetism Association EMA
- 3 more »
- « less
-
Field
-
formal qualification, you must hold a PhD degree (or equivalent) in the area of microbiology/biotechnology. As you will join a very well-functioning and collaborative project group you must thrive
-
contribute to development of research grant applications. Your profile The applicants should hold a PhD in structural dynamics with focus on data-driven methods (e.g., for input/state/parameter estimation) and
-
relation to food technology, food chemistry, and food nutrition in a broad sense. Teaching activities will include supervision of student projects at different levels (BSc, MSc, PhD). You will engage in
-
biological systems, also in collaboration with other researchers and companies. Your profile Applicants should hold a PhD in Computer Science, Computer Engineering, Artificial Intelligence, Physics
-
or a related field Solid experience within microbial fermentation either from your PhD or job in the industry Specific knowledge of process development and especially scale up Knowledge of large-scale
-
qualification, you must hold a PhD degree or equivalent in chemical or mechanical engineering with the focus on fluid dynamics and energy systems. You will be assessed against the responsibilities and
-
two PhD students in the groups, and your newly developed tools will support the analysis and interpretation of their data. You will interact strongly with several international collaborators, both
-
have successfully defended a PhD thesis in a relevant discipline (computational mechanics, mechanical/aerospace engineering, simulation technology, applied mathematics, etc.). If you have not received
-
visit our homepage . Expectations and qualifications Applicants must hold an MSc, DVM, or MD degree, and a PhD, with research experience within one or more of the following areas: Clinical or molecular
-
: PhD in Veterinary Epidemiology or a related field, or demonstrated experience with epidemiology Strong quantitative data analysis skills Applied understanding of epidemiological principles Demonstrated