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, Research MSc), e.g. in econometrics, computer science, mathematics, physics, economics, quantitative marketing. Experience in programming (R and/or Python) Strong interest for societal problems and in
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have some experience in programming (e.g., R, Python, Julia, Scala, Java, or C++) and in data analysis, management, preparation, and visualization, ideally as part of at least one end-to-end data science
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momentary assessment (EMA), wearable sensors. Some experience with programming or data analysis (e.g., R, Python) is advantageous. - Scientific writing: Good academic writing and communication skills in
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require strong analytical and methodological skills. Candidates will handle data preprocessing and analysis, ideally with proficiency in Python, R, or MATLAB. Collaboration within a multidisciplinary team
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or scripting skills (e.g. Python, R, or SQL) for handling multiple tasks such as handling metadata ingestion scripts and publishing websites via GitHub pages; You have professional verbal and written command
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or Computer Science. Proven postdoctoral experience in programming health economic models using multiple tools like Excel VBA, Python, R, SAS, Stata, or TreeAge. Proven teaching experience at university level. Track
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to conduct research. Literature references & data sources Please refer to the web pages of our faculty members (https://www.rsm.nl/research/departments/marketing-management/faculty/ Opens external
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build upon this mission, preparing students to become scientifically trained professionals equipped to serve the society of the future. More information about research at DPECS can be found here: https
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theses can be accessed via this repository: https://www.erim.eur.nl/research/publications/phd-series/ Opens external In addition to the research, the candidate will also have the opportunity to gain
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, separate brown bag and PhD seminars, several annual conferences, and a visitor program with eminent finance scholars. For more information see http://www.rsm.nl/finance Opens external . Employment