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Experience with volumetric image data Excellent programming skills (e.g., Python, C++, MATLAB) and familiarity with scientific libraries (ITK/SimpleITK, VTK, TensorFlow/PyTorch, etc.) Ability to work
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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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Andres Masegosa (arma@cs.aau.dk), Department of Computer Science. (please see: https://andresmasegosa.github.io/ . The project’s domain PI is Professor Jamal Jokar Arsanjani (jja@plan.aau.dk), Department
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research area: Python or C#, robotics, additive manufacturing, finite element analysis, or computational fluid dynamics. Experience in teaching and co-supervising thesis students at university level
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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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(https://www.classique.aau.dk). CLASSIQUE will address a suite of fresh research challenges defined by the intersection of digital applications that have real-time requirements and quantum resources
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, 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, is
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and Memorial Sloan-Kettering Cancer Center, NY. Read more about the project here: https://health.medarbejdere.au.dk/en/display/artikel/supercomputer-and-ai-to-strengthen-danish-cancer-treatment-new
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development, particularly in LabVIEW, C++ and Python programming for high-precision measurement systems. As a key member of our team, you will lead the development and optimization of our high-speed
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to career stage Excellent written and spoken English Programming skills (preferably Python) and experience with optimization frameworks will be considered an advantage Experience with infrastructure modelling