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performance, detect artefacts, and ensure scientific rigor Proficiency in Python (or Julia/R) for data handling, ML model development, and statistical analysis Ready to work with time‑series data, sensor fusion
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their thesis work in the field of robotics; Strong programming skills in C++ and/or Python, as well as experience in implementing robot learning algorithms; A strong background in control theory, machine
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and present at international conferences Required Qualifications Master’s degree in computer science, or a closely related field Strong programming skills in Python and experience with deep learning
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(e.g. Python, R) or a universal programming language (e.g. C#, Java, C++, Rust) Knowledge of the use of relational and non-relational databases Very good English skills (written and spoken) High
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skills (Python, R, Java, …) and interest to work in polyglot software environments Practical experience with machine learning and AI methods and an interest to learn, adapt and apply ML methods
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machine learning tools on the experimental and numerical data. Requirements Master degree in physics, chemistry, mathematics or related fields Knowledge in materials science Knowledge of python good
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physics or related disciplines. Following competences are desirable: Experience in programming with python or C++ Basic knowledge in laser modelling Basic knowledge in nonlinear dynamics Good communication
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international research sites Your Profile: Completed master’s degree in mechanical engineering, material science, physics or a related field Experience in modelling and simulation (e.g. Python) Willingness and
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background in bioinformatics, systems biology, molecular biology or a related field You should have strong programming skills (preferably in R and Python) and familiarity with Linux Experience in constraint
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equivalent) in physics, computer science, mathematics, data science, computational science, and cognitive science Very good programming skills (e.g., in Python, C++, or comparable languages) Ideally, initial