72 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions at Technical University of Denmark
Sort by
Refine Your Search
-
of the capacity of this large program, you will work in close collaboration with two PhD students on that particular project as well as the rest of the research group at DTU Physics that counts a total of 56 people
-
coil patterns and core geometries, to reduce coil loss in HPMCs You will also contribute to teaching and supervising BSc and MSc student projects, and be co-supervisor for PhD students. Anyone who: has a
-
of the capacity of this large program, you will work in close collaboration with two PhD students on that particular project as well as the rest of the research group at DTU Physics that counts a total of 56 people
-
the corresponding sustainability impacts. Building the first-of-its-kind of adaptable process simulation and estimating sustainability performance Your job is to support the vision of sustainable bio-chemical
-
affiliated with the Center for Visualizing Catalytic Processes (VISION) at DTU Physics www.vision.dtu.dk and work closely with VISION’s faculty members, PhD students, postdocs and international leading
-
of CO2 +X in CO2 storage.” CO2plus focuses on understanding the phase behavior of CO2 with different impurities or fluids at storage sites. We aim to acquire systematic knowledge and develop modeling
-
affiliated with the Center for Visualizing Catalytic Processes (VISION) at DTU Physics www.vision.dtu.dk and work closely with VISION’s faculty members, PhD students, postdocs and international leading
-
. We also encourage DAWN postdocs to mentor and supervise BSc and MSc student projects, and co-supervise PhD students. As a formal qualification, you must hold a PhD degree (or equivalent). We offer DTU
-
into this environment are invited to apply. Experience in quantum nanophotonics, quantum photonic devices, nanoscience, nanotechnology, and quantum dots is welcomed. Learn more about the project here: nikaakopian.org
-
magnetism. Qualified applicants must have PhD degree in physics, astronomy, mathematics, engineering, computer science or similar. Experience with numerical methods, preferably within open-source software