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, PowerPoint) You have good or very good knowledge of computer-aided data analysis with R, Stata or Python and are interested in expanding your knowledge You have experience in working with survey or even panel
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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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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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, e.g., Python, C/C++, Fortran Willingness to work independently and think critically Excellent communication skills Ability to work well in a team and contribute to a diverse and inclusive workforce What
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well as experience in omics data analysis, and possesses solid English-language skills. Experience with programming, preferably Python and R, is required. Experience with deep learning frameworks, such as JAX
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, Computational Biophysics, or a closely related field Strong programming skills (e.g., Python, C/C++) Knowledge of machine learning frameworks (e.g., PyTorch, TensorFlow) Very good English language skills, ability
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, statistics, data science, or a related field. Intermediate to advanced written and oral command of English. Some familiarity with scientific data analysis and programming (e.g., in R, Python). Ability
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and pursue research projects independently as well as in collaborations with multi-disciplinary teams. experience in statistical data analysis and programming (e.g. R, Python, Perl, C++) as
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publications Excellent command of English Strong proficiency in programming languages such as Python, MATLAB, or R Demonstrated methodological expertise in advanced EEG and/or fMRI methods, evidenced by
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., R, Python). Strong organizational skills, reliability, and an ability to work independently. Willingness to participate in fieldwork campaigns, including multi-day site visits. Good written and oral