Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
structural analysis and design. The position includes a substantial teaching component, with a central role in delivering and developing courses in structural mechanics and related fundamental subjects
-
, precarity, sustainability and changing business models. Media, formats and innovation in CCI: Research on emerging media forms and formats, such as podcasts, streaming formats, immersive and interactive media
-
Faculty of IT and Design, The Faculty of Engineering and Science and The Faculty of Medicine. Dissemination qualifications, including participation on committees or boards, participation in organisations
-
datasets for real-world problem-solving Algorithm design, implementation, and deployment for high-impact, interdisciplinary applications Teaching Responsibilities As an Assistant/Associate Professor, you
-
of academia and industry, creating a unique environment for research, innovation and collaboration. Being Head of Thin Film Processing offers a rare chance to step into a central role within one of Denmark’s
-
analysis, longitudinal and time-series data modeling, predictive analytics, and the development of generative AI solutions for clinical decision support. The candidate will contribute to the design and
-
experience within GIS, urban drainage design, hydraulics, and remote sensing is a strong advantage. The candidate has a solid scientific background and documented experience in urban drainage modeling and
-
where research, innovation and collaboration are used to develop solutions to global challenges such as the green transition and future energy systems. The department is located in both Aalborg and
-
electron states to support high-sensitivity room-temperature quantum sensing. Besides the establishment of the experimental setup, this involves the design of pulsed DNP and EPR methods using advanced
-
English, both written and spoken Desirable qualifications: Demonstrated experience with state-of-the-art tools for the analysis of complex MS datasets, such as multi-batch experimental designs Understanding