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Field
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, see our OTM-R . We provide our employees from abroad with welcome service (visa application, administration, relocation & settlement support). Additional comments The deadline for applications is
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to summarize and communicate key results. Previous experience collecting, categorizing, and storing physical samples and digital data Strong Proficiency in creating reproducible data analysis workflows with R
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well as analysis of data using R software will be advantageous for the position. The candidate should have an excellent academic record, be highly motivated, demonstrate independent scientific thinking and
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measurements from optical techniques such as white light interferometry. The selected candidate will contribute to the group’s R&D output and carry out the following tasks over the 4-year PhD: Perform 3D
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data analyses includes writing well-documented, reusable code (Fortran, Python or R) Collaborate closely with fellow PhDs and project partners in an interdisciplinary context Present, publish and
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of econometric methods, statistical software (e.g., Stata or R), or experience with economic experiments is an advantage. Independent yet collaborative – You can work autonomously while thriving in a team-based
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complex datasets with a preference for a candidate with at least basic knowledge of Python/R; Demonstrated interest in advertising or marketing communication and social media; An interest in open science
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high-level impression of the style of research. H. Fokkema, R. de Heide and T. van Erven. Attribution-based Explanations that Provide Recourse Cannot be Robust . Journal of Machine Learning Research, vol
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; Computational skills to handle and analyze complex datasets with a preference for a candidate with at least basic knowledge of Python/R; Demonstrated interest in advertising or marketing communication and social
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field. Graduation from a two-year Master’s programme (120 ECTS) is an advantage. Research skills – Knowledge of econometric methods, statistical software (e.g., Stata or R), or experience with economic