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work entails an in-depth study of the theory of tomographic reconstruction, requiring a strong mathematical foundation and well-developed programming skills. Monte Carlo simulations of gamma cameras
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the doctoral project and the subject area (e.g. engineering or theoretical physics, wave propagation, engineering acoustics, programming, modelling, bioacoustics, computational methods, electronics
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should have a strong quantitative background, for example in statistics, mathematics, computer science, or a related field, very good programming skills, a demonstrated interest in statistical modelling
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personal qualities and individual suitability. Experience in kinematics, dynamics, programming, safety and CAD modelling is considered an asset. Knowledge of AI-assisted automation is particularly
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necessary. Proficiency in Python programming, particularly with Python libraries such as Spectral Python (spectral), NumPy, SciPy, and OpenCV and familiarity with at least one engineering design software
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proven advanced experimental capabilities and excellent programming skills (e.g. C++, ROS, Matlab, etc.). You should have a strong vision to evaluate and demonstrate the research findings in real life
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absence. The research tasks require a solid mathematical background with proven advanced experimental capabilities and excellent programming skills (e.g. C++, ROS, Matlab, etc.). You should have a
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statistical programming in R or Python is desirable but not required. The application should include a brief description of your research interests and relevant experience, a CV, copies of degree
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or machine learning, modelling and simulation, experimental robotics, and scientific programming. Previous scientific publications or experience from research and development projects are also
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tasks require a solid mathematical background with proven advanced experimental capabilities and excellent programming skills (e.g. C++, ROS, Matlab, etc.). You should have a strong vision to evaluate