Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
PhD Opportunity – Advanced Microwave Sensor Design for Detection Technologies The School of Electrical and Mechanical Engineering at the University of Adelaide is seeking a highly motivated PhD
-
5 Sep 2025 Job Information Organisation/Company KU LEUVEN Department Engineering Technology Research Field Engineering » Civil engineering Engineering » Mechanical engineering Researcher Profile
-
? Organization The PhD position is embedded in the research programme Innovation & Organization of FEB’s Research Institute. The project will be supervised by Prof. Ulrike Schultze, Prof. David Langley, and a
-
40.0 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Ensuring good
-
Program (it is DC 12), which brings together 15 doctoral candidates across Europe to tackle the challenge of making footwear truly circular. The SCARPA network combines top universities, pioneering SMEs
-
mechanisms. Work in a collaborative, interdisciplinary, and dynamic environment with leading experts in machine learning, computational biology, and neurogenomics. Access cutting-edge datasets, infrastructure
-
mechanisms. Work in a collaborative, interdisciplinary, and dynamic environment with leading experts in machine learning, computational biology, and neurogenomics. Access cutting-edge datasets, infrastructure
-
, and the findings of your project will be implemented across project partners. Your supervisory team includes Prof. Dr. Luuk Rietveld and Dr. ir. Job van der Werf and you will be embedded in the Water
-
Research Center (CRC) 1772 is to explore and harness previously inaccessible collective phenomena and ground states in heterostructures of molecules and two-dimensional materials. Two-dimensional (2D
-
photopolymerization of the precursor. The practical work will be complemented by fluid mechanics computer simulations, including solutions employing machine learning, and theoretical analysis using Leslie-Ericksen