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of the project is to investigate chromatin-related mechanisms of genome protection in seeds. The project will involve a combination of molecular genetics, cell biology, epigenome profiling and physiological
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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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molecular genetics, cell biology, epigenome profiling and physiological assessment of seed viability. The position is associated with the research group of Stefanie Rosa at the Swedish Agricultural University
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, use imitation learning algorithms to learn pick-and-place actions, design HRI experiments with users, evaluate data, and share the code and benchmarks in open repositories. This postdoctoral position is
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data for urban characterization. The work includes developing algorithms, performing large-scale analyses, and collaborating with partners across disciplines in remote sensing, urban studies, and climate
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Are you curious about how natural genetic diversity in fungi can be harnessed for sustainable agriculture? This scholarship opportunity is intended for a postdoctoral researcher interested in
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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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Saccharomyces cerevisiae as our primary research model. In addition to cutting-edge genetic techniques and genome-wide screening approaches, we emply state-of-the-art biochemical and proteomic methods
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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