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for hands-on experimental characterization techniques and data analysis. Skills in programming (e.g., Python, MATLAB) and simulation tools. Expertise in photonic integration is not a must, but having relevant
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in Python and affinity with large geospatial datasets. Interest in interdisciplinary research at the interface of geoscience, engineering, and societal impact. Good communication skills and willingness
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, Introduction to Python, making figures using GGplot2 and basic machine learning. These courses are offered to PhD candidates through the PhD Course Centre of the Graduate School of Life Sciences . In
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and digitizing archival data, strong knowledge of causal inference methods, good command of R and Python. Knowledge of machine learning methods is an asset. Strong command of English; command of either
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relevant to molecular and/or materials discovery, such as DFT, MD, and ML–based property prediction. Basic knowledge of physical chemistry, thermodynamics, or electrochemistry. Proficiency in Python and
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process. You should also have: Competences in the field of mechanics, fluid-dynamics, electronics as well as coding (Python) are appreciated. Diversity, Equity and Inclusiveness ESA is an equal opportunity
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, psychometrics – especially in dealing with violations of measurement invariance, as well as extensive computer programming experience in R and Python. Given that the project lies at the intersection of psychology
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quantitative data analysis. You have strong programming skills (e.g. Python, MATLAB, R). You have an excellent command of spoken and written English. You have a strong publication record appropriate to career
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programming skills (Matlab/Python etc.). Experience with Philips MR pulse programming is a plus. You like to work in a multidisciplinary environment. You are highly motivated and committed. You have a proven
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R or Python). Good-to-have: You have experience working with large-scale text or visual data, or datasets related to history or culture. You tackle complex data challenges with curiosity and are