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innovation in the chemical and/or pharmaceutical industry, or in the effect of new digital technologies on R&D/ innovation dynamics more broadly. In terms of methodology, our work is predominantly quantitative
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of local affiliates and forge strong scientific partnerships with internal and external partners. Closely liaise with Commercial, Market Access and R&D to demonstrate the medical value for marketed products
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or multilayer networks, applied to biological data • Familiarity with HPC environments is highly desirable • Programming skills in R, Python or equivalent • Excellent communication skills in English
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in the implementation of e-learning formats Sound knowledge of statistics and the use of statistical programs (e.g. in Matlab, R or SPSS) German and English skills Proven ability to collaborate
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laboratory methods statistics skills (R) IT skills (MS Office) excellent German and advanced English language skills didactic competences (incl. blended learning) What we offer: Inspiring working atmosphere
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strong interest in evolutionary genomics and ecological adaptation; good data analyses skills and programming knowledge (R, Phyton or bash); teamwork, communication and problem-solving abilities
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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