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interest are candidates that incorporate computational approaches in their research, and dry lab scientists are also welcome to apply. The successful candidate will participate in Graduate Programs and
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methods for simulating and validating drive trains and drive train components of wind turbines. A particular focus of our work is on creating detailed simulation models that can be used to plan, support
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free admission to Senckenberg museums – annual special payment – collectively agreed vacation entitlement – company pension plan Senckenberg is committed to diversity. We benefit from the different
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presentation using common computer programs Ideally, strong communication skills in both German and English You are enthusiastic about learning new practical skills, approach unfamiliar topics with curiosity and
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(TCP/IP, ISO/OSI) Strong understanding of networking performance indicators (latency, jitter, delay) Good programming skills in Python Good understanding of Python libraries for data analysis (Pandas
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programming in MATLAB. Additional experience in C++ is beneficial Team spirit, as well as a structured, independent way of working Basic experience in software development, test driven development and version
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subject Experience in programming in MATLAB, Python and/or C++ Basic experience in software development, test driven development and version control software such as GitLab Basic knowledge of digital signal
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You have the ability to convey complex scientific and technical topics in an understandable and target-group-specific manner You have very good IT skills in MS Office programs and an affinity
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Strong background in analyzing and integrating large-scale bulk multi-omics datasets, experience in single-cell and spatial-omics approaches will be considered an advantage Proficiency in programming
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terms of teaching, the professor will participate in the courses offered in the Bachelor's and Master's degree programs in the fields of Animal Physiology, Evolutionary Biology and Behavior and will offer