Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
centres on mathematical models of the physical and virtual world, as a basis for the analysis, design, and implementation of complex systems. We focus on ensuring that our research results contribute
-
analyses, human behaviour, regulation and policy analysis. The department offers teaching from introductory to advanced courses/projects at BSc, MSc and PhD level. The department has 200+ employees with
-
essential for rigorous analysis and meaningful collaboration. The applicant must be prepared to actively participate in all aspects of the day-to-day activities of the department, designated section, study
-
The following skills are advantageous: Experience with processing and analysis of electrophysiological signals Experience with control theory and implementation Knowledge of rehabilitation robotics or assistive
-
in engineering. Candidates with the following knowledge and skills will be given priority consideration： Thermal energy storage or techno-economic analysis Heat transfer and heating/cooling systems
-
. Completing courses and training required for being awarded the PhD degree. Design and perform strain engineering works in Bacillus. Perform OMICS data analysis, especially RNAseq analysis. Specific
-
tools for detecting biomarkers that can aid in the diagnosis and prognosis of bladder cancer. It involves close collaboration with medical doctors in Denmark and internationally, including the analysis
-
Nonlinear Structural Analysis Strong analytical and technical problem-solving skills, with a solid foundation in Mathematical, Probabilistic and Engineering principles and methods Familiarity with offshore
-
working with live animals. Excellent skills for data handling and statistical analysis. Strong written and oral communication skills in English. Ability to work both independently and as a part of a team
-
. This knowledge will support the designation of marine protected areas in line with the “30 by 30” conservation target. A central component of the project is the integration and analysis of diverse data sources