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or equivalent High competence in machine learning and robotics Knowledge and experience in computer vision is an advantage Good mathematical and programming skills (Python and C/C++; ROS is an advantage) Good
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or equivalent High competence in machine learning and robotics Knowledge and experience in computer vision is an advantage Good mathematical and programming skills (Python and C/C++; ROS is an advantage) Good
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communication skills, enthusiasm and scientific curiosity. Strong programming skills in Python. Experience with analysing biological data. High level of motivation for academic research work. Good organisation
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) Physics Knowledge of experimental atomic, plasma and/or laser physics is an asset, especially if combined with strong hands-on laboratory skills Programming experience, particularly in Python, is welcomed
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charging technologies Experience in modelling and simulation using Python Knowledge of optimisation methods, energy systems, or smart charging concepts is advantageous Experience with data analysis and
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algorithm development using Python or equivalent programming languages is considered an asset. Given the highly international and collaborative nature of the research environment, strong presentation and
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: www.ringlaser.de Requirements Master’s degree in physics, laser physics, electrical engineering, aerospace engineering, or a related field Programming skills in MATLAB and/or Python (knowledge of C++ is an
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Documented ability to work in Python Experience with machine-learning methods for record linkage and text analysis Documented experience with machine-learning methods for image-to-text transcription
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(Python or equivalent) is desirable but not required. How to apply Applications should be submitted via the Physics PhD programme page. In place of a research proposal, you should upload a document stating
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imaging. Experience with scientific programming (e.g., MATLAB, Python and/or C++). Excellent analytical and problem-solving skills. Interest in image reconstruction, beamforming, machine learning, and