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Digital Humanities with a focus on network analysis or deep learning Experience with the collection and analysis of data for historical research Experience with programming for the humanities (Python, R
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software (e.g., SPSS, STATA, R, etc.). Experience in scientific writing (in English), experience in data collection and analyses. What we offer: Wordclass Research Network Springboard for Academic Career
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programming skills in R and/or Python. You are also eager to learn new research methods. You have initial experience working with and fine-tuning LLMs and wish to further develop these competencies. You have
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biology background Strong ambition and good work ethics #7: Experience in the area of bioanalytical chemistry, statistical analysis of big data #8: Strong programming skills in Python, R, or similar
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-on expertise in big data analyses, non-parametric and bayesian methods for rhythms analyses; panel models, penalized regression • Experience with R, Matlab, Sigmastat, Prism • Fluent in English (oral and
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) programming/stats skills (preferably Python, R) are mandatory, and first research experience in designing, running, analyzing (and possibly also publishing, or preparing to publish; see required application
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-reviewed journals and/or publishers Excellent knowledge of one of the following statistical software programmes: R and Python Experience in science communication and knowledge transfer (preferably with a
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experience. Professional skills such as programming knowledge and skills (e.g., R, Python) and a strong record of scholarly achievement (e.g., through publications in peer-reviewed journals, appropriate
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– including their statistical bases and statistical software (R, JASP, SPSS). The ability to communicate fluently at least in English (very good written and spoken skills, C1 level) is a must. Proven
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programs for data analysis (e.g. SPSS, R) Very good ability to explain research methodology and present research findings in a structured way Started postgraduate training in clinical psychology Experience