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Carl von Ossietzky Universität Oldenburg | Oldenburg Oldenburg, Niedersachsen | Germany | 25 days ago
ecologically valid paradigms, naturalistic stimuli,momentary ambulatory assessment, and/or methods to address inter-subject variability. Proficiency in data analysis tools such as Python, MATLAB, or R. A strong
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outline your general research interests. The position will remain open until it is filled. Selected Publications: 1) R. Kürsten, J. Mihatsch, T. Ihle, Emergent flocking in mixtures of antialigning self
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, computational data analysis and microbial evolution, with a solid understanding of quantitative statistics and programming (Python, R, MATLAB, etc.). Additional expertise in ancient DNA, (bio)archaeology
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machine learning methods in the context of biological systems Experience with programming (e.g., Python, Perl, C++, R) Well-developed collaborative skills We offer: The successful candidates will be hosted
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proficiency in Python and/or R; familiarity with working in a Linux/Unix environment; fluency in English (both written and spoken); excellent communication and teamwork skills in an interdisciplinary
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Strong programming skills (e.g. Python, R, C/C++) and experience with highthroughput sequencing data Solid understanding of RNA biology, transcriptomics and epitranscriptomics Desirable skills: Experience
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biochemistry, molecular biology, biophysics or a related field of the life sciences or engineering. Solid understanding of RNA biology, ribosome and translation mechanisms Experience with R, Python or MatLab
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candidate (m/f/d) has expertise in population genetics, computational data analysis and microbial evolution, with a solid understanding of quantitative statistics and programming (python, R, matlab etc
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, R) in Linux environments; demonstrated experience in communicating scientific results in high-quality publications. We offer you an exciting and varied job in a research centre with around 1,000
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Application Deadline: 3 December 2025 for positions starting between March 2026 and September 2026. Application Link: https://erez.weizmann.ac.il/apx/r/ws1/372/102?P101_APPL_LANG=E&P101_APPL_TYPE_SHOW=75