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discipline. Desirable Experience in machine learning, deep learning, data analysis, numerical modelling, or scientific programming (such as Python, MATLAB, or R) is desirable. Knowledge of hydrodynamic
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program, in particular in those courses related to this call. You have very good programming skills in Python and ideally also C++. Proven experience in code development is crucial and will be checked
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at the bench or in analysis. Programming in Python, R or MATLAB, and any experience of analysing image or sequencing data. A previous research project, internship or Master's thesis in a related area. How to
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characterization of materials’ magnetic, electronic and structural properties. Experience in spectroscopy and microscopy is valuable Knowledge in programming (Python) and 3D modelling will be valuable Availability
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Requirements Experience with laboratory work, environmental monitoring and/or data analysis will be considered an advantage. Programming and data-analysis skills (e.g., Wavemtrics, R, Python or similar
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, data science, or related - Strong programming skills (Python and/or R) - Experience with machine learning or data analysis - Knowledge of deep learning frameworks Application Procedure Interested
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, or computer science. Core competencies: solid background in quantum many-body physics strong programming skills (Python required, Rust a plus) experience with tensor networks, variational Monte-Carlo, machine learning
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or Python). Knowledge of the social identity approach and health psychology models are essential, and experience of network science or computational modelling is desirable.
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, engineering, or a related quantitative field - Knowledge of statistics - Interest in machine learning - Experience with R and/or Python If you are interested in this project, please select ten Cate your group
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on imaging concepts, knowledge of Matlab, Python programming languages and commercial software based on the finite element method is a plus, excellent communication skills (written and oral) in English. A very