Sort by
Refine Your Search
-
Category
-
Employer
- Aalborg University
- University of Copenhagen
- Aarhus University
- Technical University Of Denmark
- Aalborg Universitet
- Technical University of Denmark
- Geological Survey of Denmark and Greenland (GEUS)
- University of Southern Denmark (SDU)
- Technical University of Denmark (DTU)
- University of Southern Denmark;
-
Field
-
strong interest in paleoclimate, marine geology and/or paleoceanography. Experience with one or more of the following would be an advantage: marine sedimentology and sediment-core analysis, geochronology
-
on ocean and coastal dynamics, marine processes, and their response to environmental change through a combination of field observations, data analysis, and numerical modelling. The position is embedded
-
PhD position in environmental toxicology and endocrine disruption: Focus on new endpoints in zebr...
) in the EU), will be compared to later protected life-stages. Methods include detailed organ histopathology, advanced imaging and spectroscopy, gene expression profiling, behavioral analysis
-
multi-fidelity modelling, your research will advance and integrate three core elements: (i) physics-based multi-fidelity structural models enabling high-resolution analysis at fatigue-prone hot-spots
-
science, communication, political science, or journalism/media studies. The PhD student will be involved in all aspects of the research, from conception, execution, analysis, publishing to public dissemination. The ideal
-
. The project will provide training in paleoceanography and paleoclimate research, including the development and interpretation of proxy records, quantitative analysis of environmental data and integration
-
Very good knowledge of English (written and oral) Good communication skills (scientific community, the public, stakeholders, and managers) Experience in data analysis and statistical tools Preferable
-
numerical modelling, simulation, optimization, control, or engineering-data analysis. Good programming skills in Python, MATLAB/Simulink, or a comparable scientific computing environment. A fundamental
-
multi-fidelity modelling, your research will advance and integrate three core elements: (i) physics-based multi-fidelity structural models enabling high-resolution analysis at fatigue-prone hot-spots
-
-driven modelling. Experience with numerical modelling, simulation, optimization, control, or engineering-data analysis. Good programming skills in Python, MATLAB/Simulink, or a comparable scientific