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Field
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will also consider other quantitative disciplines such as data science, mathematical statistics, actuarial science, or public health or psychology with strong statistical training. For full information
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including scientific writing, communication and presentation skills, project management, statistical analysis, leadership skills, and many others. This allows our students to acquire transferable skills
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mathematics, economics/finance, or related) with demonstrated ability in mathematical modelling and data analysis Working proficiency in at least one modelling/programming environment, or capacity to develop
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in biotechnology, bioengineering, bioeconomy cell biology, molecular biology, or a comparable field of study, preferably with a background in life cycle assessment (LCA) and techno-economic analysis
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candidate, you have an outstanding Master's degree or comparable degree in biology, physics, applied mathematics or related disciplines. As an experimental candidate you have experience in biological systems
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mathematics, (theoretical) computer science, machine learning foundations, electrical engineering, information theory, cryptography, statistics or a related field. - Advanced knowledge of probability theory