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problems Proficiency in data analysis and programming using at least one statistical program such as R, Python, or similar programming languages Experience with GAMS, GTAP, and Exiobase is an asset. Skills
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or a related field (M.Sc. degree or equivalent) Experience conducting observational or experimental studies with animals Quantitative skills in R or Python Excellent communication and teamwork skills
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with (scientific) programming (Python, R or other languages) Comfortable with mathematics and analytical systems thinking Curiosity and willingness to expand their knowledge in related disciplines Very
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Familiar with R, Python or other coding languages Experience with HPC clusters and Job Schedulers (e.g. SLURM) Interdisciplinary communication skills and intercultural competence Knowledge and experience in
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L, Salazar R, Spaich K, Varadi K, Birkenstock J, Egger M, Gao E, Koch WJ, Katus HA, Frey N, Jungmann A, Busch CJ, Mather PJ, Ruhparwar A, Voelkers M, Wade RC, Most P: S100A1ct: a synthetic peptide
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qualitative methods; some background in or willingness to learn computational social science methods as well as R and/or Python is highly desirable. Willingness to develop an ambitious empirical research
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-induced cardiotoxicity (AICT) and heart failure with preserved/ reduced ejection model. References: Kehr D, Ritterhoff J, Glaser M, Jarosch L, Salazar R, Spaich K, Varadi K, Birkenstock J, Egger M, Gao E
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programmes Much of the programme coursework requires the use of statistical programmes. Most students will use R software, although some students will use other programmes, such as Python, Stata, or SAS
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, sociological...) to measuring beliefs, attitudes, and their relationship with shaping (online) behavior is desirable. Familiarity with data analysis in R or Python is required. Experience in study handling
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soil characterization techniques. A strong command of English is indispensable. Skills in R, MATLAB or Python are helpful. The effective exchange within the interdisciplinary collaboration will be