25 scientific-computing Postdoctoral positions at Technical University of Denmark in Denmark
Sort by
Refine Your Search
-
Job Description If you wish to develop your research within Science & Technology Studies (STS) and Computational Anthropology, you may consider applying for this Post Doc position (36 months). We
-
Job Description We are seeking one or more highly motivated and talented Postdoctoral Researchers to join our team and contribute to our cutting-edge activities within photonic quantum computing
-
, experimental and computational methods to study the physiology of microbes. You will work in a team contributing to projects of other team members, while independently developing your own project. You will also
-
magnets that is able to generate a strong magnetic field, while at the same time being easy to manufacture, and cost-efficient. We aim to achieve this by using a novel computational approach that should be
-
to magnetosphere-ionosphere coupling; experience with magnetometer and incoherent scatter radar data is particularly welcome. Excellent skills in Python programming for space science applications; experience with
-
analysis. The successful candidates will work under the supervision of Associate Professors Carlos Azevedo and Ravi Seshadri. The Intelligent Transport Systems Section belongs to the Transportation Science
-
development, and computational algorithms A solid understanding of theoretical chemistry and solvation models such as COSMO The ability to work independently as well as collaboratively within a
-
offer DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We offer a rewarding and challenging job in an
-
quantum computing protocols using hybrid detection technologies. Explore the potential of 3D cluster states for fault-tolerant quantum computing. Publish research results in high-quality scientific journals
-
academic environment with over 400 employees and 10 research sections. We broadly cover digital technologies within mathematics, data science, computer science, and computer engineering, including artificial