Sort by
Refine Your Search
-
energy systems modelers to supply validated process data for system-level energy and carbon footprint modeling. Supervise and mentor MSc and PhD students contributing to process analysis, instrumentation
-
disposal. The department has overall responsibility for the Master's degree programs in medicine and in molecular medicine. At the department we are approx. 670 academic employees, 500 PhD students and 160
-
), carbon (C), and water between the biosphere, atmosphere, and hydrosphere from the landscape to the national level. Using a combination of state-of-the-art biogeochemical modeling, remote sensing, and data
-
building bridges between clinical, epidemiological and biostatistical research. The main tasks will consist of: Research in clinical epidemiology, specifically within population medicine. Make applications
-
disposal. The department has overall responsibility for the Master's degree programs in medicine and in molecular medicine. At the department we are approx. 670 academic employees, 500 PhD students and 160
-
, collaborating with researchers, policymakers, industry partners, and farmers who all work on translating complex data and modelling results into actionable insights. Key responsibilities Develop and apply
-
For further information about the position, please contact the principal investigator (PI), associate professor Daniela Agostinho, by email: dagostinho@cc.au.dk . If you need help uploading your application
-
research tasks related to the CULTS project. Main tasks include scraping (from open sources), organizing, and analyzing large amounts of rhetorical and behavioral communication (text data) of (primarily
-
international quality. In your daily work, you will work closely with colleagues on your project, especially the PhD student and the supervisors, where you will receive supervision and guidance. Your main tasks
-
implement state-of-the-art data science principles into dental practice. While our primary focus is on the use of deep learning in (dental) imaging, our work expands into any type of data (e.g. tabular data