22 python "https:" "Fraunhofer Gesellschaft" Postdoctoral research jobs at Technical University of Denmark
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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++
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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
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, 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
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-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
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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
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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
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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
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. 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
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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
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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