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and other stakeholders - knowledge-driven and application-inspired. To strengthen the Department Data Science in Bioeconomy, we are looking for Two Student Research Assistants (m/f/d) (40-80h per month
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will work at the interface between research, administration, and politics. Your Role: Setting up an infrastructure to categorize granular observations from large data sets Independently thinking
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-related traits, and heterosis. In the era of large population size and dense genomic data such as whole-genome sequencing, new algorithms are needed to remove the bottleneck of computational load for such a
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, and microbial resource management. The work comprises the analysis of temporal dynamics of bacterial and archaeal communities, large-scale sampling and quantitative molecular analyses, as
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High Performance Computing on CPUs and GPUs experience with simulations on supercomputers producing large volumes of data proficiency in Fortran, Python, shell scripting, and processing simulation data
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algorithms for microscopy image analysis problems (primarily 2D timelapse data), which are driven by real applications in life science research Develop solutions to integrate large foundation models
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As the German National Library of Science and Technology, our future-oriented services ensure the infrastructural requirements for a high-quality supply of information and literature for research in
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large environmental and ecological data sets, incl. empirical, remote-sensing and simulated model data knowledge in programming languages (UNIX, C, or similar) and script-based programming (R, Python
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for Infection Research) in Braunschweig. The research should focus on the systematics and evolution of microorganisms, as well as on the integration of big data methods, comparative genomics, modern
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for the following as soon as possible one student assistant (f/m/d) for 10 hours per week You will contribute to the survey methodological research of the data, including the preparation, testing, analysis and