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of software development (Python) for wavefront control using adaptive optics Demonstrate rigour, adaptability, agility and responsiveness Ability to work in a team Be independent and organised Ability
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preferably with data analysis and machine learning (e.g., Python, AI frameworks). You have strong analytical and problem-solving skills, with the ability to translate complex clinical processes into structured
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statistical analyses using Stata and Python. Review relevant academic literature and summarize findings. Prepare tables, figures, and documentation for research papers and presentations. Support other research
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(preferably R or Python) and in adapting hydrological models. You have obtained knowledge in hydrological modelling and basic extreme value statistics. You are open to work in a team and to communicate with
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in programming (preferably R or Python) and in the processing and analysis of data sets, preferably with the focus on hydrological processes. You have obtained knowledge in statistics, especially in
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, particularly during measurement campaigns at synchrotron and neutron facilities. Experience with programming languages such as Python is advantageous. Practical laboratory skills and an enthusiasm
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independent work and effective collaboration, particularly during measurement campaigns at synchrotron and neutron facilities. Experience with programming languages such as Python is advantageous. Participation
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. A masters degree in a neuroscience related discipline, experience with coding (e.g. Matlab, Python, R etc) and conducting human neuroscience experiments and analyses are desirable. If your first
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(university, TU) in mechanical engineering, materials science, physics, or related fields Programming experience (e.g., Python, C, C++) Experience in laser materials processing, welding of metallic materials
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experience with finite element or finite difference modelling and its underlying fundamentals. The student should be able to program in MATALB or Python (MATLAB preferred as lead supervisor is more familiar