Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
energy modeling and analysis to be part of the Ports as Energy Transition Hubs (POTENT) Marie Sklodowska-Curie Actions Doctoral Network. The network will consist of 15 PhD candidates interested in
-
Energy Transition Hubs (POTENT) Marie Sklodowska-Curie Actions Doctoral Network. The network will consist of 15 PhD candidates interested in the field of Energy Infrastructure, Maritime Economics, Ports
-
, nanophotonics, lasers, quantum photonics, optical sensors, LEDs, photovoltaics, ultra-high speed optical transmission systems, bio-photonics. Technology for people DTU develops technology for people. With our
-
, or a related discipline. Hands-on research experience in one or more of the following areas will be considered an advantage: Confocal microscopy and Image processing Optical bench instrumentation
-
estimation of rotating tools. Direct tool wear characterization will be based on optical measurement systems and data processing to achieve wear feature recognition and quantification. Indirect tool wear
-
develop experimental research performing magneto-optical spectroscopy combined with electronic transport to investigate light-matter interactions in 2D materials. Our goal is to access and control new
-
through UCAS. It is a prerequisite for allocation of the stipend that the candidate will be enrolled as a PhD student at the Doctoral School of Engineering and Science in accordance with the regulations
-
.” This position is part of the IntelliWind (Intelligent Systems for Autonomous Wind Power Plant Operations) project, a prestigious Marie Skłodowska-Curie Doctoral Network (MSCA DN) funded by the European Union. As
-
read more about DTU Physics at physics.dtu.dk . Further information may be obtained from Head of Department Jane Hvolbæk Nielsen, tel.: +45 4525 3222, e-mail: jane@fysik.dtu.dk . If you are applying
-
estimation of rotating tools. Direct tool wear characterization will be based on optical measurement systems and data processing to achieve wear feature recognition and quantification. Indirect tool wear