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analysis, with possible specialisations in genomic and molecular biology techniques as well as in algorithms, statistics and artificial intelligence for molecular genetics. This is based on perspective and
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astrophysics, condensed matter physics and solid state theory, statistical and biological physics, mathematical physics, quantum information theory, and nuclear physics. Course organisation All graduate studies
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, and particle physics, physics of condensed matter, statistical physics, astroparticle physics, and mathematical physics. Course organisation All graduate studies (for the Master's and PhD) at our
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field #experience in quantitative assessments, including statistics and/or crop modeling #proficiency in programming languages for data processing and analysis #strong commitment to inter- and
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)physics, statistical mechanics, scientific computing and also a keen interest in interdisciplinary research and collaboration with experimental groups. You hold (or expect to complete soon) a Masters or
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Degree Doctoral degree in biology, economics, linguistics, political science and public administration, physics, psychology, sociology or statistics Course location Konstanz Teaching language
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proficiency in data analysis and statistical software packages. You have problem solving skills. You own the ability to conduct independent scientific research and collaborate in an interdisciplinary research
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statistics, mathematics, and complex systems (e.g., understanding feedback loops) Knowledge of or curious about the carbon cycle in South America and willing to expand your knowledge in related disciplines
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and papers Very good knowledge of and experience with MS office, graphic programs, statistical software, bioinformatics tools and online tools (e.g. Illustrator, Lightroom, GraphPadPrism, R) Highly
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Familiarity with statistics and programming experience in Python are advantageous Strong intention to be a part of international team with interdisciplinary questions We offer: An interesting and vibrant field