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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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, nuclear, and particle physics, physics of condensed matter, statistical physics, astroparticle physics, and mathematical physics. Course organisation All graduate studies (for Master and PhD) at our
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knowledge on epidemiological and statistical methods To scientifically contribute to narrow evidence gaps in epidemiological and health research To acquire the ability to present results and methods
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, metabolomics, and precision health YOUR PROFILE Completed university degree (Master’s or equivalent) in a scientific or technical field such as Physics, Biotechnology, Bioinformatics, Mathematics, Statistics
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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 economics, linguistics, political science and public administration, psychology, sociology or statistics Course location Konstanz Teaching language English Languages
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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
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experience in the extraction of natural compounds from complex matrices knowledge of the isolation and structural elucidation of natural products experience in the statistical analysis of research results
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consulting in the area of statistics and ML, entrepreneurship training, the bilateral transfer of methods and problems from industry, and training for AI users from industry. Learn more about the transfer