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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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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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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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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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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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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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doctorate in mathematics as well as experience in the field of analysis for partial differential equations. The applicant should have the willingness to take on responsibility for interdisciplinary projects
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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
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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