41 physics-engineer-"https:"-"https:"-"UCL" Postdoctoral positions at Aarhus University
Sort by
Refine Your Search
-
microscopy, optical interferometry, vacuum technology, finite element method simulations will be involved. Applicants should hold a PhD in Physics, Nano-science, Engineering or similar, experience with optics
-
develop and support projects at the intersection of soft matter physics and food science. The Postdoc position is part of the Food technology group at the Department of Food Science and may also include
-
are conducted in an international and multidisciplinary environment, bringing together expertise from across Europe in electrochemistry, energy storage, power electronics, process engineering, smart sensors, IoT
-
19 Mar 2026 Job Information Organisation/Company Aarhus University Department Department of Molecular Biology and Genetics Research Field Biological sciences » Biological engineering Researcher
-
the project RIBOTICS (RNA Origami Technology in Cell Systems) funded by an Advanced Grant from the European Research Council (ERC). The intended starting date is 01st September 2026 or as soon as possible
-
environment spanning chemical engineering, process systems, biotechnology, and Power-to-X technologies. Opportunities to collaborate closely with national and international academic partners, as
-
. The postdoctoral researcher will collaborate closely with an engineering team responsible for process integration and prototype development Expected start date and duration of employment This is a 2.5–year position
-
/EXPERIENCES A Ph.D. (obtained or soon to be obtained) in Control Science and Engineering, Process Control, Mechanical Engineering, Chemical Engineering, Computer Science, or a related field. In-depth research
-
The Department of Business Development and Technology at Aarhus University invites applications for an 18‑month postdoctoral position in AI Ethics for the Public Sector, starting 1 September 2026
-
and technology comprehension tools for children investigating children’s understandings and conceptualisations of computational and AI-based systems designing and empirically studying learning