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focus on physical and mathematical aspects is required. In addition, scientific programming skills (preferably in Python) and experience with numerical models are essential. Desirable qualifications
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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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. The working language of the lab is English; knowledge of the German language is not necessary. Experience in computational image analysis, deep learning, and strong coding skills (Python, R) are required
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that complement your profile: Ideally, you have already gained scientific programming experience in Python, particularly with the Qiskit framework. You use your excellent English skills confidently and
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. The platform enables automated behavioral analysis and supports researchers with valuable insights. What you will do Develop and maintain machine learning inference pipelines using Python and Docker Support
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of potentially novel modes of protein binding is possible in collaboration with other members of the lab. Desired (but not absolutely required) skills: programming in python, machine learning, and experience in
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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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skills in Python and Matlab Very good English skills and basic German skills Our offer A vibrant research community in an open, diverse and international work environment Scientific excellence and
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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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in programming languages such as Python and C++. Goal is the development and integration of new and automated measurement capabilities for ultra-sensitive low-energy AMS. This includes extending and