23 python "https:" "Fraunhofer Gesellschaft" Postdoctoral positions at Technical University of Denmark
Sort by
Refine Your Search
-
experience in the following areas: Knowledge of computer science and machine learning. Familiarity with electrical and electronic engineering. Proficiency in programming languages such as Python, C++
-
programming with e.g. Python, Matlab, Julia. In your application, please give a detailed account of your experience in the above-mentioned areas. We offer DTU is a leading technical university globally
-
, https://ibis.dtu.dk ) and contribute to building a world-class research hub focused on advancing microbial solutions for a sustainable future. DTU Bioengineering is excited to announce a 4-year
-
-ray diffraction, and X-ray photoelectron spectroscopy would also helpful for this position. Basic programming skills (in Python) is another skill desired for this position. We offer DTU is a leading
-
Programming competencies in MATLAB or Python Experience in using practical coastal engineering models such as MIKE, Delft3D, XBeach and SWASH As a formal qualification, you must hold a PhD degree (or equivalent
-
media Experience with microscopy and image analysis (e.g. ImageJ, Python, MATLAB) Ability to work independently and collaboratively in an international research environment As a formal qualification, you
-
connection of renewable generation, experience with HIL systems and experimental test setups, and strong competences in communication systems as well as coding experience (C++ and Python). As a formal
-
. The ideal candidate will have: Experience in developing novel algorithms. Experience in coding in python and preferably C/C++. Experience in frontend engineering, including but not limited
-
materials, catalysis and/or surface science. For Topic 4, candidates must have documented skills within computational modelling of atomistic processes. Experience in scientific programming, e.g. using Python
-
bioinformatic WGS data analysis and interpretation from bacterial isolates for AMR surveillance and/or genomic epidemiology. Proficiency in relevant bioinformatics tools and programming languages (e.g., Python, R