65 evolution-"https:"-"https:"-"https:"-"https:"-"https:" positions at Aalborg University
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
administration. This includes contributing to curriculum development, quality assurance of programmes, participation in committees and working groups, and engagement in strategic initiatives across the department
-
their merging and application in hydrological modeling. Experience with nowcasting methods, the development of nowcasting techniques, and the quantification of nowcasting uncertainties are essential. Experience
-
collaboration are integral to advancing high-quality research. We believe that a strong, open, and collaborative working environment is essential for the development of innovative and internationally competitive
-
of Health Science and Technology, Aalborg University, and affiliated with the National Centre for Register-based Research at Aarhus University. As a PhD researcher, you will contribute to the development
-
focuses on the development of secure and trustworthy AI for resource-constrained embedded systems. The research will investigate how machine learning models can be designed and deployed efficiently
-
quantitative methods in authentic teaching contexts. The project produces evidence based insights to inform future teaching practice and policy development. The GAIYA project consortium consists of researchers
-
contribute to implementing the faculty’s overall strategy. You are expected to contribute to the development of the academic field, including highly specialized functions. In addition to clinical duties
-
experience in handling and analyzing large-scale genetic datasets are highly desirable. Familiarity with genetic association studies and the development or use of analytical pipelines for genomic data is an
-
innovation, knowledge sharing, and professional development. Learn more about AAU Energy at www.energy.aau.dk. How to apply Your application must include the following: Application, stating reasons
-
analysis, longitudinal and time-series data modeling, predictive analytics, and the development of generative AI solutions for clinical decision support. The candidate will contribute to the design and