Sort by
Refine Your Search
-
The Centre for Formal Methods and Future Computing (FORM) at the Department of Mathematics and Computer Science, University of Southern Denmark (SDU, Campus Odense or Vejle) invites applications
-
statistics, AI and machine learning methods, including demonstrated experience in analysing multiple global change drivers, e.g. land use intensity, climate change, nitrogen deposition. Proven capability
-
instruments, with data obtained with DNA methods and data obtained with a Hirst trap. • Numerical models used by the group covers the particle dispersion model HYSPLIT in combination and the numerical models
-
genetic basis of plant–microbe interactions, with a particular emphasis on data integration across plant species and data types (genomics, transcriptomics). Design, adapt and use deep learning methods
-
interventions and commercial marketing measures, consumer-oriented innovations, and social dynamics can be combined to support sustainable change. Please make sure to read more about the project here https
-
candidate will have an existing research profile that uses ethnographic methods to explore questions relevant to the social and ecological effects of livestock and agricultural infrastructures on landscapes
-
: Conceptualisation and synthesis of data integration and visualisation workflows. Data management and the development of knowledge graphs Development and application of AI and machine learning methods and pipelines
-
-novation, value creation, stakeholder engagement, and the development and validation of methods and tools for circular transitions. Your Profile We are looking for a candidate who has: A PhD degree in Design
-
technologies. The postdoctoral researcher will perform operando and time resolved structural characterization of materials and devices during switching, combining methods such as laser pump and X ray probe
-
of materials and devices during switching, combining methods such as laser pump and X ray probe total scattering, WAXS and SAXS, imaging, and femtosecond X ray diffraction to probe structure and dynamics in real