16 finite-element-analysis Postdoctoral research jobs at Aarhus University in Denmark
Sort by
Refine Your Search
-
The Department of Biomedicine at Faculty of Health at Aarhus University invites applications for a position as Postdoc in the field of functional single-cell analysis as per 01/02/2026 or as soon as
-
: Probability Theory, Geometry and Analysis Appl Deadline: 2025/09/25 11:59PM (posted 2025/08/25, listed until 2025/09/25) Position Description: Apply 2025/09/25 11:59PM Position Description The Department
-
postdoctoral position in methods development and analysis of multi-omics and clinical data for inflammatory skin diseases. The start date is October 1st, 2025, or as soon as possible thereafter. Research context
-
The Plant-PATH Center for Active Transport of Plant Hormones, hosted at the Department of Molecular Biology and Genetics, Aarhus University, is seeking a highly skilled and motivated postdoc to investigate the molecular mechanisms of plant hormone transport. The position offers the opportunity...
-
to assess stakeholder needs, create PV-integrated sensors to monitor agriculture-specific stressors, model stress impacts on PV performance, and develop innovative PV tracker controls. These elements will be
-
work of the research group, it will include elements of method development within sample preparation, instrumental and data analysis, quality assurance/control and semi-quantification, in the context
-
, such as corpus analysis, surveys, or other data-driven approaches Strong interdisciplinary orientation and capacity to collaborate across the digital humanities, computational linguistics, media studies
-
statistical analysis of results Experience with collecting field data in a spatial context Insight into analyzing data-intensive measurements and sensitive analysis Who we are At the Department of Agroecology
-
-disciplinary analysis, modeling, and development of continuous improvement loops that advice researchers of possible solution pathways. At AU, a digital twin platform software called the Digital Twin as a
-
and clinical outcome through comprehensive tumor profiling. The project integrates spatial transcriptomics, long-read sequencing, DNA methylation analysis, and microbiome profiling to gain a deeper