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• you have a background in systems biology, applied mathematics, (control) engineering or (bio)physics, and ideally have some undergraduate research experience
• you have good knowledge of programming languages (e.g. Matlab, Python or C++) and sufficient experience with dynamical system simulation. Familiarity with the basics of probability theory, Bayesian statistics and/or uncertainty quantification methods is also highly desirable
• you have a good command of English (oral and written) and possess excellent communication and collaboration skills.
Job tags
Dynamical systems theory, probability theory, Bayesian inference, Monte Carlo methods, mathematical modeling, biochemical networks, systems biology, mixed-effects models, Bayesian inference, uncertainty quantification.
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