Sort by
Refine Your Search
-
Category
-
Employer
-
Field
-
since the primary language of the organisation is Danish, you should be prepared to learn Danish. Department of Hydrology You will be part of the Department of Hydrology. The department works with
-
innovation, knowledge sharing, and professional development. Learn more about AAU Energy at www.energy.aau.dk. How to apply Your application must include the following: Application, stating reasons
-
, and machine-learned force fields to describe ion transport and interfacial evolution. These models will be extended to mesoscopic and continuum scales (kinetic Monte Carlo, phase-field) to capture
-
research-based teaching and/or dissemination activities within one or more subject areas. Aalborg University applies a problem-based learning (PBL) approach. Documented experience with PBL (such as project
-
research-based teaching and/or dissemination activities within one or more subject areas. Aalborg University applies a problem-based learning (PBL) approach. Documented experience with PBL (such as project
-
conducted as engaged scholarship, where research findings are developed in close dialogue with practice and contribute to ongoing strategic conversations, reflection, and learning. The successful candidate
-
project under supervision • Participate in the department’s research environment • Complete a PhD training programme • Teach at one or more of the department programmes Your main task as a PhD
-
opportunities. These include personalized DISC profile assessments with feedback, career-focused courses, and networking events with trade unions, employers, and other relevant parties. Learn more about these
-
parties. Learn more about these initiatives at our Career Hub . The employment is in accordance with the Ministerial Order on the Appointment of Academic Staff at Universities (the Appointment Order) and
-
public organisations, and the Innovation, Knowledge and Economic dynamics Group (IKE), which examines knowledge creation and innovation as processes of interactive learning within systemic frameworks