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Field
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programming, preferably Python and R, is required. Experience with mass spectrometry data, in particular metabolomics, and geometric machine learning is a plus. In addition to above-average interest in
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software as python packages Reporting findings and methods in conference and journal papers Your profile Masters, Diploma or equivalent degree in IT/computer science/statistics/applied mathematics/data
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• Proficiency in statistical or programming tools (e.g., R, Python) • Interest in education and learning as an application domain • Ability to work independently • Demonstrated academic writing
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learning • Programming skills (e.g., Python, R) • Interest in interdisciplinary research at the intersection of data analysis and learning sciences • Interest in education and learning as an
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programming skills in Python and experience in developing and documenting reproducible research code (e.g. using PyTorch or comparable frameworks). Practical experience with AI-assisted development and coding
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, Python, or MATLAB. · have solid spoken and written English communication skills. Knowledge of German is not required. Prior knowledge of quantum physics is not required, but may be an advantage. Employment
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, or Engineering. Do you have experience of numerical modeling of atmospheric processes and are you already familiar with meteorological topics? Can you program in Python or Julia? Ideally, you also have some data
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to work on policy instruments for climate change mitigation knowledge of R and/or Python for conducting econometric analysis or text analysis (or an interest in learning) high diligence and strong attention
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with clinical PACS systems and DICOM data handling Knowledge of Python and/or MATLAB, especially in scientific computing and image processing contexts Enthusiastic and motivated team player Good
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, PowerPoint and statistical software are expected. Over the course of your role, you will be interacting with computational design pipelines and will be expected to acquire basic proficiency in Python. Your