71 software-testing-short-course Postdoctoral positions at Technical University of Denmark in Denmark
Sort by
Refine Your Search
-
interest in pursuing applied research in computer vision and deep learning with a focus on wind energy application. Proven experience with computer vision tool/software development using Python and/or Matlab
-
co-simulation platforms (e.g., TRNSYS-Python) Implement and test AI-enabled smart energy management strategies in real-world settings Conducting in situ measurements, including planning, setting up
-
. The focus areas are Find the best solutions to forecast hybrid power plant generation from minute-level to day-ahead, including implementation, test and validation at the DTU Risø HPP facility Understand and
-
science or similar. Experience with Fortran or other compiled software languages Experience with high performance numerical methods and parallelization Experience with writing and publishing scientific articles
-
backgrounds in: Civil, Architectural, and Environmental Engineering, Computer and Software Engineering, Computer Science, or a related discipline such as Mechanical Engineering. Candidates must have completed a
-
their use in model validation Knowledge of wind farm parameterizations in mesoscale models Experience with wind resource assessment and site suitability, including WAsP and WEng software Experience using
-
of complex systems. Good knowledge of modelling and the use of open-source as well as dedicated commercial FEM/FVM software packages. Excellent English proficiency in written and oral form. The ability and
-
evaluating organ histology Testing oxygen transport using a hemorrhagic shock rat model Analyzing and communicating your findings through publications and presentations Co-supervising MSc and PhD students
-
the nanoparticles will dissolve and release their nutrients. Field tests under controlled conditions will be conducted in collaboration with the other partners involved in the project. At DTU Energy, you will have
-
at DTU Compute. The position is part of the large EU project Shift2SDV, which brings together 81 partners to shape the future of Software Defined Vehicles (SDVs). DTU’s role is focused, and the postdoc