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different microbial species, automation and small-scale fermentation (project 1), high throughput phenotyping (project 2), constraint-based metabolic modeling Language skills (English) Intermediate
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, preferably with a background in behavioral neuroscience or signal processing (especially of bioacoustics data) - Programming experience (e.g. Python, R, Matlab, etc.) - Strong communication and
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qualifications: MSc degree in electrical engineering, mathematical engineering, mathematics, computer science or similar; Solid mathematical and analytical skills, including signal processing, statistical learning
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to learn. Be able to work well and communicate expert knowledge in an interdisciplinary team. Have the ability of working independently. Have a strong sense of responsibility. Research environment
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cellular and molecular mechanisms driving inter-individual variability remain poorly understood. This PhD project will focus on experimental validation of cellular states and signaling pathways identified by
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analytical skills, including signal processing, statistical learning, optimization, deep learning, or information theory; Experience in programming, e.g., in C++, Python or Matlab. Qualification requirements