Sort by
Refine Your Search
-
performance computing numerical methods in our state-of-the-art open source micromagnetic model, MagTense. MagTense is based on a core implemented in the Fortran programming language, and it relies
-
considered an asset in these positions. Applicants must also be able to demonstrate excellent ability to code with or learn computer programming languages, such as C++, C#, Python, and/or Matlab
-
modelling, preferably WRF Experience of scientific programming and running code on HPC systems Experience with Fortran, Python and Linux Shell Any of the following is advantageous but not essential
-
related field Experience with Earth System or biogeochemical modelling Strong programming skills (e.g., Python, R, MATLAB) and experience with advanced machine learning modelling A strong interest in
-
on the intersection of data science, statistics and machine learning, all with applications to wind and solar energy science. You will be a part of an international team developing tools to plan and operate hybdrid
-
, development & scientific advice and provides educational programs and service to society. We are working to develop new environmentally friendly and sustainable technologies, methods and solutions, and to
-
or similar. Background in applied physics/materials science. Experience in STM Experience in programming or writing analysis software is advantageous. Previous experience in nano/micrometer-size device
-
programming and analytical skills. Ability to work independently and in collaboration with diverse teams. We offer DTU is a leading technical university globally recognized for the excellence of its research
-
environment research experience working with real-world non-linear dynamic data, networks, and ideally with applying coupled oscillator models strong programming skills in e.g., Python previous research
-
research program – Closed Loop Ai-driven Protein Binder Design Technical University of Denmark (DTU) and Novo Nordisk have initiated a strategic partnership and created a joint cross-disciplinary research