Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
QGG Aarhus University seeks a Tenure Track Assistant Professor in Quantitative Genetics of sustai...
campus in Aarhus and at the AU Flakkebjerg campus in newly renovated offices with well-developed research infrastructure, laboratories, equipment, and highperforming computing clusters. Place of work
-
research facilities, advanced computing capacities as well as an extensive national and international researcher network. The department consists of nine research sections with around 350 highly skilled
-
will be part of the Pioneer Centre for Statistical and computational Methods for Advanced Research to Transform biomedicine (SMARTbiomed) and work closely with researchers at our three hub-sites
-
. The positions The positions are affiliated with the Department of Educational Sociology, which is responsible for the Master’s degree programme in educational sociology. The selected applicants for the assistant
-
) • Experience performing experiments (optional) This advertisement primarily targets students in the Business Administration and Digital Business program. Still, suitable candidates from other programs with a
-
the information studies programme. As the successful applicant is expected to play a key role in developing cybersecurity as a strategic research area within the department’s curriculum, applicants
-
innovative research, contracted policy advice, and education. We offer professional laboratories, greenhouses, semi-field, and field-scale research facilities, advanced computing capacities as
-
Two Senior Innovation Coaches (specialkonsulent) for Early-stage Medical Technology Innovation Teams
BioMedical Design Novo Nordisk Foundation Fellowship Programme, Department of Clinical Medicine at the Faculty of Health, Aarhus University, invites applications for two positions (one in Aarhus and
-
standard of living. Qualifications requirements (academic and personal): Academic qualifications: Applicants should hold a master degree in computer science or other related fields with a strong statistical
-
technologies for removing PFAS “forever chemicals” from the environment. You will collaborate with Prof. Anders Krogh’s group, Department of Computer Science, UCPH, on applying ML for protein-ligand predictions