11 Mathematics "Helmholtz Zentrum Berlin für Materialien und Energie" research jobs at Leibniz in germany
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plant and mathematical modeling to determine the benefit of root phenotypes for stress tolerance. Report your work in scientific journals and oral presentations. Your qualifications and skills: You hold a
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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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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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PRIF – Peace Research Institute Frankfurt As a foundation under public law and with more than 90 employees in research, administration, and science communication, the Peace Research Institute Frankfurt is one of the most influential institutions for peace and conflict research in Germany. To...
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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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renowned scientific journals and present them at international conferences Requirements: Master's Degree or PhD in Physics, Engineering, Computer Science, Mathematics, Transport Science or a related field
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do we expect from you? The successful candidate must have a solid background in Theoretical Oceanography and the numerics of ocean models as well as a PhD degree in Physics, Mathematics, Physical
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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
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agronomy, agricultural engineering, geography, mathematics, physics or similar good knowledge of process-based crop modelling (e.g. DSSAT, APSIM, WOFOST, …) computer programming or scripting skills in (e.g