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and next generation sequencing data. Graphical output of data analysis for publication demonstrated experience in statistical analysis and designing computational methods and tools, including prior
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training program in and beyond the fields mentioned above. REQUIREMENTS: An ambitious Ph.D. student with strong interest in working in our multidisciplinary team A state examination degree in pharmacy or
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(e.g., GIS, system dynamics, statistical programming) #strong knowledge of qualitative methods in empirical social research #experience working in interdisciplinary and international research projects is
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coding experience with e.g. Python/Matlab/R Practical experience with High Performance Computing, and scientific programming and a willingness to learn to work with high-performing computing systems
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The Leibniz-Institut für Analytische Wissenschaften - ISAS - e. V. develops efficient analytical methods for health research. Thus, it contributes to the improvement of the prevention, early
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of your study program. What we offer: A dynamic and collaborative research environment Training in state-of-the-art biological and computational methods The chance to bridge theory and practice in a high
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, the metabolome and metallome of marine macro- and microorganisms by cutting edge LC-MS/MS-based chemoinformatics/computational untargeted metabolomics (MS/MS fragment similarity based molecular
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The Leibniz Institute for Surface Engineering (IOM) and the Faculty of Mathematics and Computer Science at Leipzig University are seeking to fill the following position as of January 1, 2026 in a
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or LibreOffice, Linux proficient in dealing with operating systems and high-performance computing facilities We expect: the ability to work independently and on your own initiative a methodical and systematic
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” supported by the International Continental Scientific Drilling Program (ICDP) and aiming to study the icehouse–hothouse transition during the Permian (299–252 million years ago) and extreme continental