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members Your profile Doctoral degree in Statistics, Mathematics, Data Science, Computer Science or a related field with a strong background in Statistics Hands-on experience in Statistical Modelling and/or
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sequencing technologies and bioinformatics and statistics Knowledge in programming (e.g. with R, Python, Pearl) and mathematical modelling with special focus on the field of microbial ecology is desirable
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techniques, modern sequencing technologies and bioinformatics and statistics Knowledge in programming (e.g. with R, Python, Pearl) and mathematical modelling with special focus on the field of microbial
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science, computer science, scientific computing, mathematics, physics, biology, earth sciences) Experience in the development of scientific open source software Experience in dealing with research data High
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scientific publications Your qualification profile Successfully completed university degree (master, diploma, or equivalent) in computer science, physics, engineering, mathematics, or comparable field Profound
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mathematics or a closely related field is required. Experience with some of the following topics will strengthen your application: statistical physics; critical phenomena; interacting point and particle
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with a master’s degree in mathematics. A strong background in the theory and numerics of partial differential equations and a very good background in optimization and/or stochastic analysis is required
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scales The call is addressed to dynamic and highly motivated researchers with a PhD and with an excellent track record in biological, agricultural or environmental sciences. Sound statistical
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PhD candidate. We are looking for a person with a background in (bio-) statistics, mathematics or related disciplines who is interested in longitudinal data analysis, causal inference and applications
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education as well as a doctorate in the field of mathematics or equivalent experience. We are seeking outstanding scientists in research fields of statistics, machine learning, or optimization. Very good