Sort by
Refine Your Search
-
Employer
-
Field
-
-up initiatives. You should be driven by the ambition to secure funding that supports the growth and success of our research group. In addition, you will play an active role in teaching and mentoring
-
fluid-structure-interaction problems in the projects. Contributing to research-based teaching and supervision of MSc students. As a formal qualification, you must hold a PhD degree (or equivalent). You
-
manufacturing simulation Experience in 3D printing processes and fiber-reinforced polymer composite materials. As a formal qualification, you must hold a PhD degree (or equivalent). We offer DTU is a leading
-
- and project-based focus, and continued education and knowledge dissemination. Your work tasks The work is shared between two projects. One project is across the North Sea region, addressing safety
-
, materials science, and artificial intelligence. What we expect Applicants should hold a PhD in electronic engineering (the degree should have been completed within the last 5 years at most): Strong background
-
Postdoctoral Positions in PFAS Analytics, Degradation, and Thermophysical Properties - DTU Chemistry
of complex mixtures, including experimental measurement techniques and/or computational methods. As a formal qualification, you must hold a PhD degree (or equivalent) in chemistry, chemical engineering
-
be to: Conduct multidisciplinary research (as explained above) Teach (and design) BSc and MSc courses, Supervise BSc and MSc student projects, Supervise PhD students as a co-supervisor for PhD students
-
, creative, and has proven your academic excellence and/or scientific achievements. We also expect you to have a strong ability to conceive new ideas, take initiative and leadership, and secure progress
-
metabolic data and correlate NMR readouts with physiological function. Preferred Qualifications: PhD in Bioengineering, Chemistry, Biophysics, or a related field. Extensive hands-on experience with organ-on-a
-
industry-facing research collaboration and coordinate cross-partner workflows in planning, data-sharing, and iterative decision-making across industrial and academic stakeholders. Teach and supervise PhD