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experience in chemical analysis Experience in statistical analysis and programming languages, especially R What we can offer you Trust-based working hours 30 days’ annual leave (5-day week) plus 24 and 31
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experiences in working with remote sensing data, climate data and programming skills (R or Python) are desired. You enjoy working in an international team and you are keen on developing a key set of research
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, both written and verbal Knowledge of German and/or a willingness to learn Computer/programming literacy, for example in R, and/or software used in image processing (Adobe Photoshop, ImageJ etc.) Ability
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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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-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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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