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is interested in fundamental research at the intersections between microbial genetics and evolutionary ecology. About the position Biocontrol is seen as a cornerstone of sustainable plant protection
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space)? What are appropriate descriptors of spatial distribution in the field of materials science (e.g., Voronoi tessellations, particle-particle distances, etc.)? What are appropriate algorithms
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the research and education has a unique breadth, with large activities in classical scientific computing areas such as mathematical modeling, development and analysis of algorithms, scientific software
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and evolutionary ecology. About the position Biocontrol is seen as a cornerstone of sustainable plant protection. However, there are many knowledge gaps in relation to the use of microbial biocontrol
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have been completed earlier. Additional requirements: Written and oral proficiency in English. A keen interest in evolutionary biology and quantitative genetics Expertise in the use of quantitative
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writing scientific papers and communicating our research advances in conferences. Methods: programming a humanoid platform using ROS2 packages, solve SLAM, use imitation learning algorithms to learn pick
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properties. In this project, we will apply machine learning and optimization algorithms in order to achieve the design of such nanophotonic structures. As a postdoc you will be part of the Condensed Matter and
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apply machine learning and optimization algorithms in order to achieve the design of such nanophotonic structures. As a postdoc you will be part of the Condensed Matter and Materials Theory division, a
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analysis of complex, longitudinal, and high-dimensional data (e.g., immunometabolic profiles, clinical data, biomarkers). Development and application of predictive models and algorithms for diagnostics
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an integrated development of network architectures, resource efficient algorithms, and programming paradigms for enabling an application-tailored design of dependable communication and computation systems