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. You are studying microsystems technology, natural sciences, engineering, IT, mathematics or a comparable course of study. You have very good programming skills in Python. You have very good visual and
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, mathematical modeling and network analyses. Possible areas of application include epigenetic regulatory mechanisms, mutational effects in DNA and RNA regulation, the characterization and design of nucleic acid
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, investigate error mitigation techniques Cooperate and actively work with international collaborators Your Profile: Master’s degree in physics, mathematics, or computer science Strong interest in both developing
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Vacancy from 17/04/2025 ∙ Job ID: SMTH-348 The Leibniz Institute for Surface Engineering (IOM) and the Faculty of Mathematics and Computer Science at Leipzig University are seeking to fill the above
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The Peace Research Institute Frankfurt (PRIF) analyses the causes of international and intrastate conflicts. As one of the leading peace research institutes in Europe, we combine interdisciplinary basic research with science transfer to the public, the media and policymakers. Since 2009, the...
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Job advertisement for specializations such as: Aerospace Engineering; Mechanical Engineering; Mathematics; Mechatronics; Medical Engineering; Physics; Control Engineering; Computer Engineering or
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, oceanography, physics or mathematics, with a strong interest in the application of statistical and data analysis methods #excellent knowledge in UNIX/Linux and Unix-Scripting #very good knowledge in programming
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Skip to main navigation Skip to content Skip to footer Skip to search Uni A-Z Contact Search Search (via Ecosia) Search Search Login Login Login Form Login Language Choose language German English Mainmenu Information for Prospective Students Current Students Staff Teaching...
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degree and PhD degree in meteorology, oceanography, physics or mathematics, with a strong interest in the application of statistical and data analysis methods excellent knowledge in UNIX/Linux and Unix
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, Computational Biology, Applied Mathematics or related field Interest in interdisciplinary research Applied experience with machine/deep learning methods Ability to handle multiple projects in a dynamic