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for a doctoral candidate with the following qualifications: Master's degree in meteorology, physics, mathematics, computer science or an equivalent scientific or mathematical discipline Very good
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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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for a doctoral candidate with the following qualifications: Master's degree in meteorology, physics, mathematics, computer science or an equivalent scientific or mathematical discipline Very good
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university degree (bachelor’s degree or comparable) in informatics, mathematics, physics, geosciences or a related field with preferably very good results strong interest in High Performance Computing on CPUs
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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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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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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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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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As a foundation under public law and with more than 90 employees in research, administration, and science communication, the Peace Research Institute Frankfurt (PRIF) is one of the most influential institutions for peace and conflict research in Germany. In the context of the competence network...
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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