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, flow simulations, turbulence research, signal processing, lidar, AI applications, mathematics, and physicsSignificant prior experience using a scripting or programming language—ideally Python Goal
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• Expertise in using or supporting computational science and engineering, data analysis, and artificial intelligence applications and libraries in different HPC environments. • Demonstrated ability to support
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models to explain differences between theoretical predictions and experimental observations. Work closely with other researchers in the group to integrate new experimental methods into hyperpolarised xenon
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. Desirable qualifications Documented Experience with Python and/or another scientific programming language. Documented Experience with image processing, computer vision or machine learning or Documented
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validation in simulation or on a real robot What you contribute Currently enrolled at a German college or university Proficiency in C++/Python Experience with ROS, image processing, point cloud processing
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differences enrich the work environment for all. Not ready to apply? Join our talent community here! Basic Qualifications What you’ll Need: Applicants are expected to hold a Ph.D. Experience with computer
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need to be able to analyse data and interpret findings from your research, including large and complex datasets combining different modalities (in particular behavioral and neuro-cognitive methods, but
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on and adapt existing Python-based tools for the segmentation and analysis of compound eye structure (e.g. Currea et al. 2023, Comms Biol https://doi.org/10.1038/s42003-023-04575-x ), for application
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, particularly in light of the rise in chronic diseases, the necessary strengthening of prevention efforts, or the possible resurgence of epidemics; socio-economic inequalities and differing capacities to access
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-Chem • You will be contributing to the development of machine learning models used on data from Poleno Jupiters, applying Python and machine learning. • The position will focus on implementing