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pipeline in Python (using e.g. PyTorch) validation of your results in collaboration with colleagues from various application areas (cross-disciplinary) publication and presentation of your scientific results
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- Knowledge in programming in Python or R - Familiarity with machine learning or deep learning methods is a plus - Interest in plant genomics, evolutionary biology, or comparative genomics - Proficient in
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systems, automated workflows, or LLM-based development environments (e.g., OpenAI Codex, Claude Code, or similar) is a plus Proficiency in Python, Linux, and HPC environments Experience working with
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strong background in machine learning and/or computer vision is required, along with solid programming skills in Python and experience with deep learning frameworks (e.g. PyTorch). Prior research
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Computer Science, Machine Learning, Mathematics, Physics, Statistics, or a related quantitative field. A solid background in machine learning, statistics and/or mathematics. Strong programming skills in Python
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computational scientific workflows. Experience with scientific programming (Python or similar) Experience working in Linux-based computational environments Documented experience with high-performance computing
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: MATLAB, Python, LaTeX. • You have excellent command of written and spoken English. What we offer: Inspiring working atmosphere: You are a part of an international academic team in a healthy and fair
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quantum foundations. • You have experience in academic writing. • You should have experience with the usual tools for advanced experiments: programming experience: MATLAB, Python, LaTeX. • You have
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magnetoencephalography (MEG) and behavioral tests Data analysis using Matlab or Python (speech-brain interactions, synchronicity measurements, connectivity measurements between sources) Presentation and publication
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data analysis using software Experience in R and python is a plus but not mandatory Good presentation and writing skills Proactive, independent, and solution-oriented way of working Fluent English